About the Role
Build and ship backend APIs and microservices that power our core AI features, designing the brains behind the system.
Your Superpowers
- 3+ years building ML/AI products in production
- Strong in Python and/or TypeScript (Node.js)
- Write clean, testable, maintainable code, testing is part of how you think
- Solid experience with LLMs, transformers, and NLP workflows
- Hands-on with agent systems, prompt design, memory, tool use, and structured output
- Know your way around LLM APIs, RAG pipelines, vector DBs, and hybrid search
- Comfortable designing and operating ML systems end-to-end - from infra to observability
- Familiar with SQL/NoSQL, CI/CD, Docker, and ideally Kubernetes
- Proactive problem-solver who takes ownership and gets things done
- Engineering mindset - with curiosity, structure, and a deep grasp of systems
- Lifelong learner, excited by new tools, ideas, and ways to build better tech
- Knowing how to communicate clearly, listen openly, and find common ground
- Product-first mindset, always considering how your work impacts the end user
- Empathy and emotional intelligence, building trust and positive team dynamics
What you'll do
- Build and ship backend APIs and microservices that power our core AI features
- Design the brains behind the system — agent workflows, memory, context, multi-agent logic, and tool use
- Integrate top LLM providers (OpenAI, Claude, Gemini, etc.) and self-hosted models - into a flexible routing layer
- Work with vector databases and build smart, efficient RAG pipelines
- Collaborate with frontend/backend teammates to craft smooth, intuitive developer experiences
- Help shape the architecture and technical direction as we scale both AI and platform capabilities
- Be at the core of it all: things move fast here, and you'll have a direct hand in bringing new ideas into production
- Jump into side quests - from classic ML to experimental AI features - based on your interests
Nice to have
- Built your own ML/AI side projects or prototypes
- Solid grasp of ML theory and academic fundamentals
- Degree in CS, ML, or a related field
- Experience with AI coding tools
- Participated in Kaggle or solved real-world ML problems
- Contributed to open-source ML/AI tools or infra
- Familiar with Kafka or other streaming/message systems
- Hands-on with PyTorch, TensorFlow, or JAX
- Experience with classic ML techniques alongside deep learning
Conditions and bonuses
- A unique opportunity to lead and shape the launch of a new brand
- Work in a dynamic and innovative Tech AI environment
- Competitive salary package
- Vacation days 25, additional days off, and sick leave
- Flexible working options: remote or hybrid in one of our offices
- Clear paths for professional and career growth