Senior Software Engineer - 35501

Turing; Netherlands; Remote; EUR 96,000 - 159,000; Part time

Benefits offered by this job

Fully remote work

Opportunity to work on cutting-edge AI projects

Flexible hours with minimum commitment

Overlap with PST (4 hours/day, min 20h

Job summary

A leading AI research accelerator is seeking a Python Developer with strong expertise in FastAPI to join a cutting-edge Reinforcement Learning project. You will design and optimize APIs, collaborate with engineers, and deliver backend services. Ideal candidates have over 5 years of Python experience, including 3 years with FastAPI, and familiarity with ML tools. This role offers fully remote work with flexible hours.

Qualifications

• 5+ years of professional Python development experience including 3+ years of strong experience in FastAPI.
• Experience with REST APIs, async programming, and API lifecycle management.
• Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns).
• Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus.
• Bachelor's or Master's in CS/Engineering or related field.

Responsibilities

• Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments.
• Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking.
• Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability.
• Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.

Skills

Python development

FastAPI

REST APIs

Async programming

Software engineering best practices

CI/CD

OpenAI Gym familiarity

NumPy/Pandas

PyTorch/TensorFlow

Remote collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

NumPy

Pandas

PyTorch

TensorFlow

FastAPI tooling

Job description

We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high‑quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus.

What does day-to-day life look like?

• Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments.
• Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking.
• Write efficient, production‑grade Python code with a strong emphasis on scalability and maintainability.
• Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.

Requirements

• 5+ years of professional Python development experience including 3+ years of strong experience in FastAPI.
• Experience with REST APIs, async programming, and API lifecycle management.
• Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns).
• Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus.
• Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments) & SQL experience.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting‑edge AI projects with leading LLM companies.
• Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
• Engagement Type: Contractor assignment (no medical/paid leave).
• Duration of Contract: 3 months (adjustable based on engagement).
• Location: US.

Evaluation Process

• Technical interview focused on Python and FastAPI.

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high‑quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.