Tackle challenging problems including LLM memory, multi-language codebase indexing, semantic search for large codebases, GraphRAG, and more
Design, build, test, and ship end-to-end features that directly shape developer workflows
Gather user feedback and iterate quickly to refine and improve features
Stay current with advances in machine learning and AI, and bring those insights into our product
Monitor, evaluate, and maintain deployed agents to ensure they deliver lasting value for developers
Contribute through code reviews, knowledge sharing, and setting strong engineering standards
Requirements
Hands-on experience with modern GenAI stack (LLMs, embeddings, RAG, vector DBs, orchestration frameworks, agents)
Hands-on experience deploying and maintaining ML/AI systems in production
Comfortable shipping quickly in fast-paced, ambiguous environments where things are sometimes loosely defined and may have competing priorities or deadlines
You have a product-centric mindset that you use to understand business and user needs
Benefits
Remote-first, async-friendly culture
Competitive salary + generous equity
Work from anywhere in Europe
Huge ownership, huge impact
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLM memorymulti-language codebase indexingsemantic searchGraphRAGGenAI stackembeddingsRAGvector DBsorchestration frameworksML/AI systems
Soft skills
user feedback gatheringiterative improvementproduct-centric mindsetadaptabilitycommunicationcollaborationproblem-solvingtime managementattention to detailknowledge sharing