π Full-Stack Engineer | AI Applications / RL Environments | Remote
Do you want to work on infrastructure that directly supports the development of modern AI systems?
Join a stealth AI startup building production-grade infrastructure for reinforcement learning environments used by leading AI labs. These systems are part of the training loop of modern AI – helping shape how models are evaluated, improved, and deployed.
This is applied, production-facing engineering work, not research or experimentation for its own sake. The role is remote, contract-based, and ideal for a high-ownership engineer who can move quickly from a project specification to a working product.
π» What will you work on
- Build full-stack applications end-to-end across frontend, backend, and infrastructure
- Translate loosely defined ideas and project specifications into production-ready systems
- Design and implement systems for RL environments and agent workflows
- Develop applications supporting AI model evaluation, training workflows, and deployment processes
- Ship quickly while maintaining code quality, clarity, and maintainability
- Collaborate directly with founders and researchers on fast-moving technical projects
- Move from 0 β deployed system independently
π What we expect from you
- Strong technical skills across frontend, backend, APIs, integrations, and infrastructure
- Experience with TypeScript, React, Python, FastAPI, Next.js, and modern development practices
- Database and data modeling experience, including SQLite or similar systems
- Solid understanding of system design, debugging, performance, and technical tradeoffs
- Ability to write maintainable, production-quality code
- Proven ability to build and ship full-stack applications end-to-end
- Practical experience using AI tools such as Cursor or Claude Code to accelerate development
- Ability to review, refine, and take ownership of AI-generated code
- Strong ownership mindset and ability to work independently with minimal direction
π‘ Nice to have
- Familiarity with LLMs, agents, or AI-powered systems
- Hands-on background in designing systems for reinforcement learning environments or agent workflows
- Exposure to data pipelines, scraping systems, or automation-heavy applications
- Comfort working in highly autonomous environments with limited meetings and oversight
- Background in a startup, freelance, or rapid-build environment is preferred
- Previous collaboration with founders, researchers, or small technical teams
πΌ What we offer
- Work on infrastructure used by leading AI labs
- Applied AI engineering with real production impact
- High autonomy, ownership, and fast iteration cycles
- Direct collaboration with founders and researchers
- Space to use AI tools as your copilot to move faster without lowering engineering standards
- Fast start with a 2-week paid trial
- Potential 3β12 month commitment after a successful paid trial
- Opportunity to influence technical decisions, architecture, and product direction
π΄ Benefits youβll love
- Flexible working hours and the option to work from home / remote cooperation
- Semi-annual bonuses β 25% of company profit is shared with employees
- Salary increases based on annual performance reviews
- Modern offices with a chill-out zone and a fully equipped kitchen
- 5 weeks of vacation + 2 sick days, Pluxee card, company and spontaneous events
- An excellent Friday breakfast as a sweet ending to the work week
π Why profiq
You will have the opportunity to learn from leading experts in the market, develop your skills, and contribute to innovative projects with an international reach. Innovation and quality are part of our DNA.
π Ready to join us? Send us your CV at www.profiq.com/careers