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Tech Stack
Tools & technologiesPythonTypeScript
About the role
Key responsibilities & impact- Own AI research and end-to-end features
- Lead applied AI research and turn it into features shipped across our products
- Build evaluation harnesses (golden sets, regression tests) so AI features don't silently degrade
- Build the AI behind our usage analytics and the AI-driven strategic recommendations we provide to customers
Requirements
What you’ll need- 6+ years of ML/AI engineering experience, with a track record of delivering models and AI features in production
- Strong expertise in LLM fine-tuning, RAG, embeddings, and evaluation (golden sets, LLM-as-judge, regression testing)
- Experience optimizing AI systems for cost, latency, and quality in production
- Strong software engineering fundamentals — you deliver and operate, not just prototype
- Comfortable with Python and able to work on a TypeScript production codebase
- Experience with small language models (SLMs) and deploying models to devices/on-prem is a strong plus
Benefits
Comp & perks- BSPCE (equity)
- Competitive package
- Flexibility: hybrid model — 2 days on-site / 3 days remote
- Stimulating work environment: young, supportive culture where everyone helps each other
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ML engineeringAI engineeringLLM fine-tuningRAGembeddingsevaluationregression testingPythonTypeScriptsmall language models
Soft Skills
leadershipcommunicationproblem-solvingcollaborationorganizational skills
