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