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Senior Full-Stack Engineer [Full Time; 100% remote; US-only], Hive Collective

Anywhere, Anywhere, USA

The Role

You'd be joining a lean, high-leverage engineering team tackling the complexity of legal software — not by pushing longer hours, but by getting genuinely good at working alongside AI. This isn't a "we occasionally use ChatGPT" team. The group is actively figuring out how to hand repetitive engineering work to AI so people can spend their time on the problems that actually need human judgment.

If you like tight feedback loops and think of AI as a real engineering collaborator rather than a novelty, this is that kind of team.

Compensation, Benefits & Culture

Founded by two repeat entrepreneurs who set out to build a company without the usual startup burnout culture — their previous venture picked up multiple workplace-quality awards.

The team protects:

A sustainable pace
Long stretches of uninterrupted deep work
A light meeting calendar

Comp: USD $135,000 - $185,000 DOE, equity grant appropriate to the role, standard ~40-hour week.

Benefits:

Fully remote — work from anywhere
Medical, dental, and vision for you and your family
Annual stipends toward learning/development and personal wellness
Retirement plan with an employer contribution regardless of what you personally contribute
Flexible PTO (vacation, sick time, holidays)
Paid parental leave for either parent

What You'll Do

Help push the engineering org toward an AI-native way of building software
Keep improving internal dev workflows — using AI to ship faster, automate regression coverage, and hold the line on code quality
Design, build, ship, and support full-stack systems end to end
Work cross-functionally to deliver complete solutions spanning AI, modern web tooling, data stores, and backend platforms
Write code that's scalable, reusable, and easy for the next person to maintain
Make sure what you ship works well across browser and mobile
Build automated test coverage into new work as you go, not after
Take part in the on-call rotation
Partner with architects and peers on system design, dependency choices, and long-term maintainability
Split time between new feature work and keeping existing systems healthy
Communicate clearly with non-engineering stakeholders
Mentor more junior engineers and help set technical direction

What We're Looking For

7+ years of professional, commercial software development — shipping, deploying, maintaining, and debugging real production systems — plus:

A track record of actually improving how a team ships software using modern AI tooling (not just personal productivity hacks)
Hands-on experience with AI coding agents (e.g., tools like Claude Code, Codex, or similar) as part of your regular workflow
Experience pointing AI tooling at large-scale refactors, modularization, and code analysis
Solid Python / Django experience
Solid React experience
GraphQL experience (Apollo Client and/or Relay)
Comfort writing real unit test coverage

Nice to Have

AWS, Docker, Terraform
MongoDB, PostgreSQL
Git
Experience with third-party integrations — things like O365, DocuSign, generic REST APIs, Salesforce, SAML 2.0, or Zapier
Exposure to monitoring/alerting tooling

Who Does Well Here

Sharp analytical and problem-solving instincts
Real curiosity about LLMs and AI-assisted engineering — not just tolerance for it
Comfortable with shifting priorities and some ambiguity
Cares about the end-user experience, not just the code
Self-directed, high agency, high accountability
Takes pride in the craft and welcomes feedback
Communicates and documents clearly
Genuinely curious, always picking up new tools
Operates with integrity and sound judgment

Python Developer, Micro1

Miami Shores, FL, United States

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

Design, develop, and optimize REST and GraphQL endpoints for scalable APIs.
Drive data validation, error handling, and security best practices within backend services.
Plan and execute database migrations, optimizations, and schema changes as needed.
Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots.
Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows.
Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements.
Submit detailed post-burst surveys, delivering insights on model performance and developer experience.

Restrictions

Telecommuting is OK

Agencies are OK

Requirements

3+ years of professional experience as a backend developer, with strong expertise in Python.
Proficient in building and maintaining RESTful and GraphQL APIs.
Advanced understanding of backend data validation, error handling, and API security.
Hands-on experience with database migrations, performance tuning, and schema design.
Extensive use of AI tools for coding; familiarity with Cursor is highly desirable.
Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting.
Proven ability to thrive in fast-paced, confidential, and collaborative remote environments.

Preferred Qualifications:

Visible contributions to open source (e.g., GitHub stars or contributions).
Experience designing or evaluating experimental tooling and developer workflows.
Demonstrated enthusiasm for AI advancements in software development.

About the Company

micro1 matches companies with skilled, pre-vetted software developers worldwide.

Senior Python Engineer, EPAM

Miami Shores, FL, United States

Job Description

We are seeking a Senior Python Engineer who brings strong backend development expertise along with a solid grasp of cloud-native solutions. The right candidate will be capable of designing, building and maintaining scalable backend services through Python and modern cloud platforms.

Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam

Solid experience in Python backend development
Familiarity with frameworks like FastAPI, Flask or Django
Practical experience using AWS, Azure or GCP
Proven background building REST APIs and microservices
Sound knowledge of relational and/or NoSQL databases
Exposure to CI/CD, testing and modern software engineering practices
Excellent analytical and problem-solving abilities

Nice to have

Working knowledge of Docker and Kubernetes
Background in serverless architectures
Familiarity with data pipelines or event-driven architectures
Understanding of Terraform or infrastructure as code

We offer/Benefits

Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Senior Python Engineer, Turing

Miami Shores, FL, United States

Job Description Role Overview:

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.

One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models.

For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions.

For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs.

What does day-to-day look like:

Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
Familiarity with Python frameworks and libraries
Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models.
Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.
Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.

Requirements:

3+ years of strong experience with Python programming language.
Industry experience and knowledge of code quality, formatting, and best practices of software development
Experience with Python’s testing ecosystem, including unit, integration, and property-based testing.
Knowledge of multi-threading and asynchronous programming in Python.
Ability to work with architectural patterns and refactor code without introducing regressions.
Strong debugging skills, including fixing memory and concurrency issues.
Fluent in conversational and written English communication skills

Senior Backend Engineer, MyOme

Remote in the United States, Colorado, United States

Position Overview:

MyOme is looking for an experienced and pragmatic individual to join our integrations and portal team. This position will help enable patients and providers to order testing and understand results, bringing clarity and ease of use to complex genetics results. The successful candidate will demonstrate knowledge of healthcare data and an eagerness to build value through fast prototyping and iteration.

What You'll Do:

Add new features to our backend systems to support portal enhancements Support integration partners through reusable feature builds Create test data to aid in the design and development of our systems Develop new APIs Contribute to the team through code reviews and design discussions Participate in agile development processes, including sprint planning, retrospectives, and continuous improvement Balance quick wins with long-term technical sustainability

Location, Compensation, and Benefits:

Location: Remote in the US Compensation: Annual base salary range is $160,000 - $200,000, based on experience

What You'll Need:

No specific degree prerequisite. If you can do the work well and humbly, we want to talk with you. 6+ years of software development experience 2+ years of healthcare/biotech experience Experience with HIPAA compliance and healthcare software, or other privacy-focused frontends Proven track record of building and deploying production-grade web applications Experience with CI/CD pipelines Comfortable in Python/Django Comfortable with designing APIs Preferable experience in genetics

Senior Python/DevOps Engineer (100% Remote - USA Only), Six Feet Up

100% Remote, USA Only

Six Feet Up is seeking a seasoned Python/DevOps Engineer (100% remote, USA only) who can work across software development, architecture, cloud infrastructure, data, AI, and client collaboration.

This role is for an experienced engineering generalist: someone with deep expertise who is not limited to one framework, platform, or layer of the stack. You are comfortable entering unfamiliar systems, clarifying ambiguous problems, and applying sound judgment where it creates the most value.

You also understand that AI has changed software engineering. You use AI-assisted development tools to accelerate research, implementation, testing, documentation, and troubleshooting while remaining accountable for the quality, security, and correctness of the result.

One project may involve modernizing a mature Python application. Another may require designing an API, building a data workflow, integrating AI capabilities, or improving cloud infrastructure and observability. This role is a strong fit for someone who is curious, pragmatic, collaborative, and ready to work on the problem that matters most.

Apply online: https://sixfeetup.com/company/senior-python-developer-devops-engineer-us-only

Strong candidates will have meaningful experience in several of the following areas:

Python
Django, Wagtail, FastAPI, Flask, or comparable frameworks
REST, GraphQL, event-driven systems, and third-party integrations
PostgreSQL and relational data modeling
JavaScript or TypeScript and modern frontend frameworks
Automated testing, code quality, and continuous integration
Docker and containerized application development
AWS, Azure, or another major cloud platform
Kubernetes and cloud-native application delivery
Infrastructure as code and deployment automation
Integration of AI/ML capabilities into production systems
AI-assisted development workflows
Application performance, observability, and production troubleshooting
Secure practices such as least-privilege access, secrets management, dependency management, and remediation of common application vulnerabilities
Data ingestion, transformation, or processing workflows
Authentication, authorization, SSO, and secure application design
Legacy system modernization and incremental migrations

As a Senior Python/DevOps Engineer, you will:

Work with clients and teammates to understand business goals, user needs, constraints, and desired outcomes.
Design and deliver secure, maintainable, well-tested software across application, data, integration, and infrastructure boundaries.
Use AI tools responsibly to accelerate development while reviewing and validating generated code, tests, analysis, and recommendations.
Rapidly evaluate emerging technologies and determine where they can improve delivery, quality, security, or developer productivity.
Help evolve how the team uses AI for coding, testing, code review, documentation, debugging, estimation, discovery, and delivery.
Work with delivery leads to turn unclear initiatives into practical, incremental technical plans.
Identify architectural, security, privacy, performance, reliability, and delivery risks early.
Contribute across the application stack, including backend services, APIs, databases, integrations, frontend applications, data workflows, and cloud infrastructure.
Improve testing, deployment automation, observability, documentation, and developer workflows.

You are an experienced software engineer who:

Learns publicly by sharing findings, examples, warnings, and practical guidance with teammates.
Can solve problems that cross traditional boundaries between development, data, infrastructure, and operations.
Makes decisions based on client needs, project constraints, maintainability, risk, and long-term value.
Communicates progress, uncertainty, risks, and blockers openly.
Treats learning, experimentation, and technical reinvention as part of the job, not something reserved for spare time.
Is energized by rapidly changing technology and comfortable replacing familiar workflows when a better approach emerges.
Learns publicly by sharing discoveries, failures, limitations, and useful techniques with the team through demos, documentation, pairing, and technical discussions.

You are successful when you:

Understand our clients’ problems and aspirations.
Proactively seek and provide actionable feedback from and to peers.
Are reliable in delivering work and escalate issues quickly when needed.
Promote best practices while following company methodologies to ensure quality and stability.

Python + TypeScript Engineers, Fusionbox

Remote (US Based), Any US State, US

Fusionbox is a software engineering consultancy that builds enterprise software the right way. We negotiate the right to open source all our client code, maintain a handful of popular libraries, and our engineers contribute to Django core. We sponsor PyCon, DjangoCon, and Django Girls because we're invested in the ecosystem we build on.

We're looking for software engineers who value software design, system architecture, and collaboration. You should be strong in most of these areas: web application security, relational database design (PostgreSQL query plans, indexes, and constraints, not whatever the ORM emits), Django internals, React, and distributed systems. What you'll actually work on: complex state machines for financial workflows, multi-tenant architectures with row-level security, custom database functions when the ORM isn't enough, and React frontends that handle real-time data without being a mess of useEffect race conditions.

A note on how we work: we think deeply about the systems we build, and we believe understanding comes from doing the work yourself, not from handing it to a model. If you ship code you don't understand, we're genuinely not a fit, and that's fine. If that paragraph made you nod, we want to hear from you.

We're a small team where you'll own features end-to-end (database design to React components) and have opportunities to shape technical decisions. You'll work with a team that practices empathy and values work-life balance.

If you match these requirements and wish your job involved more variety and less bureaucracy, let's talk: info@fusionbox.com.

5 years of using Python pythonically
3 years of React Experience
Django Experience Preferred
US-Based
Must be able to communicate complex technical concepts clearly and professionally in spoken English.

Senior AI-Augmented Full Stack Developer, SureSwift Capital

Victoria, Canada

About SureSwift Capital SureSwift Capital is a private equity firm with a diversified digital portfolio, seeking a seasoned, front-end-leaning full-stack developer to build and modernize software across a portfolio of SaaS businesses. Our focus is transformation via AI enablement, and this role sits at the center of it: someone who thinks differently about how software gets built, leveraging AI as a core part of their workflow, not just a tool.

About the Role The successful candidate will work across different web technology stacks as a true generalist, ramping quickly in unfamiliar environments and using AI to accelerate development, reduce friction, and ship high-quality features faster. They will own feature development end-to-end while maintaining the stability and performance of existing production systems. This role works closely with the cross-functional team and reports to the Portfolio Leader (or designate).

The ideal candidate is a hands-on builder who is equally comfortable extending legacy production applications and shipping polished new features, with a genuine eye for how software looks and feels to the user.

What You’ll Do

Feature Development & Delivery

Own feature development end-to-end, from UI design through backend implementation, QA, and deployment.
Partner with the Portfolio Leader and business teams to prioritize and deliver features for existing applications.
Build new features, fix bugs, and optimize performance across diverse tech stacks.
Set and uphold a high bar for how things look and feel to the user.

AI-Augmented Engineering

Develop repeatable approaches and best practices for AI-assisted development.
Own AI as a core part of the development workflow to accelerate delivery and reduce friction.
Apply and champion AI-powered code generation and agentic tools (e.g., Claude Code, Cursor, Copilot) throughout the build process.

Legacy Systems & Code Quality

Take ownership of understanding and extending legacy production systems while maintaining stability and performance.
Drive modernization of existing applications without disrupting customers.
Establish robust test coverage, regression checks, and safe deployment workflows.

What We Offer

Flexible scheduling, focus on deliverables
Extended health and dental benefits from day one
Annual salary $140,000- $190,000 CDN

We are a remote company and are filling this role in Canada. We have office space and hybrid work available for candidates located in Victoria, BC. We thank everyone for their consideration.

What You Bring

Required - Demonstrated experience with modern AI coding tools (especially agentic solutions like Claude Code) as a core part of the workflow.

Product-First AI Mindset: Focus on business value, user experience, and applying use of development via models directly to solve practical end-user challenges.
Experience modernizing and extending existing legacy production applications while maintaining stability.
Proven track record of technically leading engineering workstreams, taking ownership of the development lifecycle, and mentoring junior-to-mid level developers.
Proven history of delivering high-quality, maintainable software within production environments, emphasizing robust testing, rigorous security auditing, and proactive dependency management.
Experience with modern frontend and backend technologies, including PHP, CodeIgniter, MySQL, JavaScript, jQuery, Bootstrap, Docker, and AWS.
UI/UX design sensibility or formal design experience.
Ability to communicate with executive leadership effectively on project status.

Senior Backend Python Engineer, mindIT HR Agency (on behalf of a confidential client)

Remote, Argentina

Our client is transforming the commercial real estate financing space. Backed by leading venture capital firms and financial institutions, they have built an AI-powered platform that connects brokers and borrowers with the most suitable lenders for their deals, automating the most time-consuming steps of the financing process.

They are looking for a Senior Backend Python Engineer to join their engineering team and help scale their platform.

Responsibilities:

Write clean, scalable, and testable Python code.
Maintain and improve the core Flask API and FastAPI microservices (including the AI Service and Email Service).
Architect, design, and implement new features across the product roadmap.
Collaborate closely with product, design, marketing, and engineering teams.
Perform code reviews with teammates.
Help define and document engineering best practices, testing, and CI/CD processes.
Contribute to a culture of technical excellence, velocity, and collaboration.
Participate in interviews and help improve the hiring process.

Proven experience building Python APIs with Flask or FastAPI.
Experience working in product companies or startups, ideally in fast-paced, growth-oriented environments.
Strong ability to take business ideas from whiteboard to production.
B.S. in Computer Science or equivalent experience.
Must be based in Latin America; candidates based in Argentina are preferred.

Nice to have:

Experience with LLMs and building agentic AI applications.
Experience with GraphQL.
Experience with projects handling complex workflows.
Previous experience in a high-growth company.

Full-Stack Engineer, AIDAR

Hamburg, Germany

## Remote-friendly within Germany

You'll join as our full-stack developer, working directly with Janek across backend systems, frontend, and data pipelines, and with Caspar on product strategy and design as features take shape. The product is live and running, and it's time to scale it, evolve it, and make it sing. This is early in the startup's journey: no hierarchies between you and the founders, fast communication instead of layers of approval, and priorities that shift quickly as the product and the market do. We communicate directly and expect the same in return, always with respect. Work when you work best, whatever hours suit you, as long as the output holds up; we care about getting things right, not about being seen at a desk. We aim to be a responsible company to work for, and the responsibility you get in return grows as the team grows.

Strong Python skills with a focus on writing clean, well-structured, and consistent code
Experience with Flutter, or solid frontend experience combined with a strong willingness to learn Flutter
Comfortable working with large databases and complex datasets
Based in Germany is a must
Able to take ownership of open-ended problems: analyze the situation, evaluate different approaches, and ship the best solution. This role is about solving problems, not implementing perfectly specified requirements
Interested in thinking beyond individual tasks. We're looking for someone who wants to understand the bigger picture, from our users' daily challenges to how every technical decision contributes to the product
Hands-on experience with AI/ML (LLM agents, embeddings, recommendation systems, etc.) is a plus, but not required
Comfortable using AI-assisted coding tools to increase productivity while maintaining a robust, sustainable codebase
Enjoys working closely with a two-person founding team, with direct feedback, shared decisions, and no layers between you and what gets built
Bonus: experience in startups and/or the music industry

Senior Python Engineer, EPAM

Worldwide, Worldwide, Worldwide

Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam

Requirements

Solid experience in Python backend development
Familiarity with frameworks like FastAPI, Flask or Django
Practical experience using AWS, Azure or GCP
Proven background building REST APIs and microservices
Sound knowledge of relational and/or NoSQL databases
Exposure to CI/CD, testing and modern software engineering practices
Excellent analytical and problem-solving abilities

Nice to have

Working knowledge of Docker and Kubernetes
Background in serverless architectures
Familiarity with data pipelines or event-driven architectures
Understanding of Terraform or infrastructure as code

We offer/Benefits

Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Computational Photonics Engineer, LumiAIres Ltd

Glasgow, Scotland, United Kingdom

THE OPPORTUNITY

You will build and own the modelling-and-learning capability at the heart of LumiAIres: the simulation, encoding–decoding, and machine-learning layer that makes light compute. This is a durable company function: the digital twins, encoding schemes, and readout models you build become reusable assets across every product generation and customer programme. Your immediate focus is our current flagship programme, LUMINA, which leads the high-fidelity digital twin and encoding–decoding scheme, turning the twin into the customer-facing pre-evaluation environment that lets integrators assess our technology before silicon is in hand.

Our photonic core behaves as a physical computing medium. Your job is to model how light computes inside it and to train the models that read the answer out. You will work closely with the Integrated Photonics Lead on physical validity, with our academic partners on encoding–decoding, with the Applied Photonics Engineer on validating predictions against measured silicon, and with the Full-Stack Software Engineer on productising the twin.

You are the bridge between physics and learning, modelling how light computes inside our photonic core, and training the models that read the answer out. As we scale, this role can grow into ownership of LumiAIres' modelling and machine-learning function and the team behind it.

CONTRACT & PROGRESSION

CONTRACT TYPE: 18-Month Fixed Term Contract

LOCATION: Glasgow, Scotland (Hybrid)

SALARY: TBC per annum

REPORTS TO: CTO (currently the CEO)

POTENTIAL FOR PERMANENT ROLE: Yes — Glasgow or Paris (determined within the first 12 months)

START DATE: To be agreed

This role is offered initially as an 18-month Fixed Term Contract based in Glasgow. Given the portable nature of the modelling work, the permanent position offers location flexibility as the company scales.

WHY LUMIAIRES

Work at the frontier of photonic AI, technology with the potential to reshape how the world processes information.

A founding team with deep expertise in photonics, neuromorphic computing, and commercial strategy.

Exposure to global investors, strategic partners, and government stakeholders from day one.

A genuinely values-led company building for the long term.

Flexible, trust-based culture with real ownership and impact.

HOW TO APPLY

To express interest in this role, please send a CV and a short covering note describing your background in optical or photonic simulation and machine learning, any modelling or digital-twin work you have delivered, and what draws you to photonic computing. Applications and initial conversations are treated in strict confidence.

KEY RESPONSIBILITIES

The role is structured around four core pillars:

Photonic & Optical Simulation

Model the photonic core and full signal chain using established optical-simulation and numerical wave-propagation methods.

Build, maintain, and validate the high-fidelity digital twin of the photonic processor. Quantify how design and fabrication choices affect computational behaviour, feeding insight back to the photonic design team.

Encoding, Decoding & Core Behaviour

Design and optimise input encoding and output decoding schemes for the photonic platform. Characterise how the photonic core behaves as a physical computing medium. Co-own encoding–decoding optimisation with our academic partners.

Machine Learning & Readout

Develop the readout models and associated training pipelines.

Build the learning loop that improves inference over time and feeds our software tools. Optimise the mapping of machine learning inference onto the photonic hardware.

Customer-Ready Twins & Validation

Harden the digital twin into a pre-evaluation environment that integrators can run, with the Full-Stack Software Engineer and the Strategic Partners Lead.

Validate twin predictions against measured silicon in partnership with the Applied Photonics Engineer.

WHAT WE ARE LOOKING FOR

A strong computational scientist or engineer with an advanced degree (MSc or PhD) in applied mathematics, computational or theoretical physics, electrical engineering, computer science, or a related quantitative field.
Strong optical and photonic simulation skills, including transfer-matrix and numerical wave-propagation methods (or equivalent).
A grounding in practical machine learning — model training, evaluation, and pipeline development (Python; NumPy / SciPy and PyTorch / JAX or similar).
Strong scientific software practice and the ability to turn physics into validated, maintainable code.
Familiarity with photonic neural networks, optical, or neuromorphic computing is a strong advantage.
Experience with digital-twin or hardware-in-the-loop modelling, active-learning methods, or working alongside experimental and academic teams is welcome.
Comfort in an early-stage, fast-moving environment where structure is built, not inherited.

Senior Python Developer, Turing

Remote, Remote, Remote

Role Overview:

This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models.

What does day-to-day look like:

Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
Familiarity with Python frameworks and libraries
Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models.
Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.
Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.

Requirements:

3+ years of strong experience with Python programming language.
Industry experience and knowledge of code quality, formatting, and best practices of software development
Experience with Python’s testing ecosystem, including unit, integration, and property-based testing.
Knowledge of multi-threading and asynchronous programming in Python.
Ability to work with architectural patterns and refactor code without introducing regressions.
Strong debugging skills, including fixing memory and concurrency issues.
Fluent in conversational and written English communication skills

Python Machine Learning Engineer, Turing

Remote, Remote, Remote

Role Overview:

We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus. What does day-to-day look like:

Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring.
Translate business objectives into robust ML architectures that accurately capture business logic and context.
Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics.
Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques.
Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field.
4+ years of hands-on DS/ML development experience,
Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference
Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.).
Ability to understand and apply different models to real-world use cases
Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics.
Proven ability to design scalable, production-grade ML systems.

Preferred Qualifications:

Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
Experience with cloud data platforms (Databricks, AWS, etc.)
Hands-on experience with PySpark and Databricks Platform
Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Bonus:

Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench
Experimenting with new technologies and frameworks based on Research papers published in top conferences and journals
Perks of Freelancing With Turing:

Work in a fully remote environment.

Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)

Employment type : Contractor assignment (no medical/paid leave)

Duration of contract : 3 month; [expected start date is next week]

Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico

Evaluation Process (approximately 75 mins) :

Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins

Python Developer, Micro1

Remote, Remote, Anywhere

Job Description Job Title: Python Developer

Job Type: Contract

Location: Remote

Key Responsibilities:

Design, develop, and optimize REST and GraphQL endpoints for scalable APIs.
Drive data validation, error handling, and security best practices within backend services.
Plan and execute database migrations, optimizations, and schema changes as needed.
Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots.
Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows.
Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements.
Submit detailed post-burst surveys, delivering insights on model performance and developer experience.

Required Skills and Qualifications:

3+ years of professional experience as a backend developer, with strong expertise in Python.
Proficient in building and maintaining RESTful and GraphQL APIs.
Advanced understanding of backend data validation, error handling, and API security.
Hands-on experience with database migrations, performance tuning, and schema design.
Extensive use of AI tools for coding; familiarity with Cursor is highly desirable.
Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting.
Proven ability to thrive in fast-paced, confidential, and collaborative remote environments.

Preferred Qualifications:

Visible contributions to open source (e.g., GitHub stars or contributions).
Experience designing or evaluating experimental tooling and developer workflows.
Demonstrated enthusiasm for AI advancements in software development.

Junior Python Developer - AI & Innovation Team, Adzuna

Remote, Remote

Contract hours: Full time

Location: Remote (within 2 hours of London timezone)

Salary: €25k - €30k depending on experience

About Adzuna

Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do.

About the Role

This is a fantastic opportunity for a talented Junior Python Developer to join our fast moving AI & Innovation Team. You will play a vital role in building and maintaining our full stack - scaling robust backend services, while developing the user facing web components that power our cutting edge AI products and jobseeking tools. You’ll be working in a tight knit, cross-functional team alongside Product Managers, Data Scientists and Senior Engineers. This is a high growth role where you will learn how to transition machine learning prototypes into robust, production ready applications for millions of users, while simultaneously honing your coding, frontend and architecture skills.

What You'll Do

Fullstack Development: Write clean, testable, and efficient Python code to support our core AI products and automated search and apply tools.
Model Integration: Collaborate closely with our Data Scientists to integrate machine learning models, LLM pipelines and agentic frameworks into our live production stack.
API & Data Pipelines: Build and maintain scalable APIs and data workflows to handle large volumes of job vacancy data.
Infrastructure & DevOps: Help manage and optimise our AWS infrastructure, ensuring high availability and smooth deployment processes.
Testing & Quality: Write robust unit and integration tests to ensure system reliability and mitigate deployment risks.

Tech Stack Includes

Languages & Frameworks: Python, Spark, LLMs & LLM coding tools
Frontend: React, HTML, CSS (Tailwind)
AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis
Databases & Search: PostgreSQL, MySQL, SOLR

While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn.

Experience: 1–2 years of commercial software development experience using Python
Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours).
Right to Work: This is a long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future.
Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team.
Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field.
Core Coding Skills: Solid understanding of Python fundamentals and object-oriented programming.
Execution: Record of writing clean, maintainable Python code into live, user-facing environments.
Databases: Good working knowledge of SQL and relational databases.
Cloud & Tools: Familiarity with AWS services and Git version control.
Mindset: A curious, proactive fast learner who loves solving technical puzzles and is excited by the AI/ML space.

Nice to have

Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces.
AI Applications: Experience with coding LLMs into production applications, and effectively utilising LLM coding tools in your daily workflow.
Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium).
Portfolio: An active GitHub profile showcasing examples of your work, or personal projects.

Data Acquisition & Infrastructure Engineer, Iconic Art AI

Montreal, QC, Canada

Role Overview

As Data Acquisition & Infrastructure Engineer, you will be the foundation of MAI's data capabilities. Your primary focus will be the development and operation of automated data collection pipelines that aggregate publicly available information from across the art market ecosystem. You will also own the design and maintenance of the underlying database infrastructure — built on PostgreSQL and AWS — that stores and serves this data.

This is a high-ownership role. The infrastructure is partially built; you will take it to production scale. You will work closely with AI engineers, a computer vision engineer, a product manager, full-stack developers, and the Head of Art Research, reporting directly to the Head of AI Engineering.

Key Responsibilities

DATA PIPELINE & COLLECTION

Architect and maintain automated pipelines that collect, normalize, and ingest publicly available art market data from web-based sources
Build reliable, maintainable collection systems using Python (Scrapy, BeautifulSoup, Playwright, or equivalent), with a strong emphasis on resilience, scheduling, and data freshness
Manage pipeline orchestration and scheduling using tools such as Apache Airflow, AWS EventBridge, or cron
Navigate the practical challenges of large-scale public data collection, including access patterns, rate constraints, and source reliability
Handle messy, inconsistent real-world datasets — clean, transform, and standardize data for downstream consumption

DATABASE ENGINEERING

Design, build, and maintain relational database schemas in PostgreSQL (hosted on Amazon RDS) to support complex, multi-entity art market data — artists, works, transactions, provenance, and valuation history
Develop and optimize queries, indexes, and data models to ensure performance at scale
Establish and enforce data quality standards, validation rules, and integrity constraints across the database
Collaborate with AI engineers and the computer vision team to ensure the data layer supports model training and inference requirements

INFRASTRUCTURE & OPERATIONS

Deploy and manage pipeline workloads on AWS (Lambda, EC2, S3, RDS)
Monitor pipeline health, data freshness, and system reliability — proactively address failures
Contribute to infrastructure-as-code practices as the team scales

Core Requirements

3–5 years of professional experience in data engineering or a closely related discipline
Proven experience building and maintaining automated data collection pipelines from web-based public sources using Python (Scrapy, BeautifulSoup, Playwright, or Selenium)
Strong data cleaning and normalization skills, with demonstrated ability to handle heterogeneous, inconsistent real-world datasets
Solid PostgreSQL experience: schema design, query optimization, and database maintenance
Hands-on AWS experience: Lambda, EC2, S3, RDS
Experience scheduling and orchestrating data pipelines (Apache Airflow, AWS EventBridge, or equivalent)
Experience navigating the constraints of large-scale public data collection, including reliability, access patterns, and data freshness challenges

Nice to Have

Knowledge of data quality frameworks and validation pipeline design
Experience with containerization (Docker) and infrastructure-as-code (Terraform, AWS CDK)
Familiarity with ETL/ELT tooling (dbt, AWS Glue, or equivalent)
Exposure to art market platforms (Christie's, Sotheby's, Artsy, Artnet) or understanding of how auction and gallery data is structured
Background or genuine interest in the art world, collectibles, or alternative asset markets
Experience in a startup or early-stage environment where ownership and adaptability are essential

Senior Data Engineer (100% Remote - USA Only), Six Feet Up

100% Remote, USA

Six Feet Up is seeking a Senior Data Engineer with deep experience designing, building, and maintaining secure, scalable data systems.

In this role, you will work with cross-functional teams to turn complex data challenges into reliable production solutions. You will design data pipelines, build processing workflows, improve data quality, support machine learning initiatives, and help clients make better use of structured, unstructured, time-series, sensor-based, and high-volume data.

We are looking for someone who can bring technical leadership, sound engineering judgment, and strong communication skills to ambiguous data problems. The ideal candidate is comfortable working across data engineering, cloud infrastructure, machine learning support, and production software delivery.

As a Senior Data Engineer, you will:

Design, build, and maintain robust, scalable data pipelines
Develop ETL/ELT workflows for collecting, transforming, validating, and storing data
Work with cloud-based data processing and storage systems
Implement data validation, quality checks, monitoring, and transformation workflows
Process complex datasets, including noisy, high-volume, time-series, sensor, or device-generated data
Support machine learning workflows, including data preparation, model training, evaluation, and production integration
Collaborate with data scientists, researchers, software engineers, and client stakeholders
Translate prototype data workflows into reliable, maintainable production systems
Create systems that are well-documented, testable, secure, and ready for audit or review
Communicate technical tradeoffs clearly to both technical and non-technical audiences

If you are a motivated Senior Data Engineer seeking a challenging and meaningful role, we encourage you to apply.

We are looking for someone with strong hands-on experience in:

Data pipeline architecture and implementation
ETL/ELT orchestration tools such as Airflow, Dagster, or similar platforms
Python-based data engineering and data processing tools
Cloud-based data infrastructure, storage, and processing
Data modeling, schema design, validation, and quality-control practices
Working with public, proprietary, structured, and unstructured datasets
Time-series, sensor, IoT, or other high-volume data sources
Supporting machine learning or data science teams with reliable data workflows
Building reproducible, testable, and maintainable data systems
Version control, automated testing, and collaborative software development practices

Strong candidates may also have experience with:

Machine learning pipelines for classification, prediction, recommendation, or categorization systems
MLOps, model evaluation, experiment tracking, and reproducible ML workflows
Processing noisy signal data or other data that requires cleaning, filtering, or feature extraction
Healthcare, digital health, research, or regulated software environments
HIPAA, privacy-preserving data architecture, or secure cloud data processing
Working with sensitive, clinical, or user-generated data
Helping researchers or domain experts scale early-stage algorithms into production-ready systems
Designing systems that support thousands or more users

A Plus:

Experience with containers, CI/CD, DevOps practices, or Kubernetes
Familiarity with AWS, Google Cloud, Azure, or similar cloud platforms
Experience with consumer analytics, dashboards, or data visualization products
Experience supporting FDA, SaMD, clinical validation, audit, or regulatory documentation efforts
Experience designing secure data workflows for privacy-sensitive applications

About You

You are a senior engineer who brings structure to ambiguous technical challenges. You ask thoughtful questions, identify risks early, and know how to balance research needs, business goals, engineering quality, and long-term maintainability.

You care about data quality, privacy, testing, documentation, and clear communication. You are comfortable designing architecture, writing production code, reviewing data workflows, and collaborating with people from different technical backgrounds.

You enjoy helping clients move from ideas and prototypes to secure, scalable, production-ready systems.

Agentic AI Scientist, AstraZeneca

Durham, North Carolina, USA

We are looking for Agentic AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments.

Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.

We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA).

Essential skills/Experience:

PhD in computer science, data science, artificial intelligence, machine learning or related fields.
At least 3 years of experience in Deep Learning and ML
Excellent coding skills in languages such as Python, R.
Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:

Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
Strong publication record in the field of AI.
Experience designing multi-agent systems in the pharmaceutical sector.
Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Python / DevOps Engineer for Private Voice-AI Setup, JB Martyn

Illinois, Chicago, United States

We are looking for an experienced Python / DevOps engineer to complete a one-time private setup of a Chatterbox-based voice-cloning system. The role includes deploying the model in a secure private environment, building a simple internal web interface for non-technical users, and ensuring that all voice samples and generated audio remain inside our own infrastructure. This should be a straightforward project for someone experienced with Python, server deployment, and basic web application setup.

Job requirements

Strong experience with Python and Python environments.
Experience deploying AI or machine-learning models on servers.
Basic web development skills to build a small internal web page or API.
Understanding of security and access control for internal tools.
Ability to work independently on a one-time setup project.
Clear communication and ability to provide simple handover documentation.
Experience with DevOps, server deployment, or internal tools is a plus.