Summary

Who You Are:

1–5 years of experience as an AI Engineer, ML Engineer, Data Scientist, or Software Engineer with AI/LLM focus.
Practical experience with LangChain, LlamaIndex, AutoGen, or similar frameworks.
Experience with prompt engineering.
Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus).
Experience with cloud platforms like GCP and ML infrastructure tools for AI deployment.
Strong collaborator and communicator who can work across product, engineering, and data teams.
Proactive, detail-oriented, organized, and self-sufficient, with a self-starter mentality and ownership attitude.
Works quickly without sacrificing quality to find creative technical solutions.
Excited to work at a fast-paced, scaling organization building cutting-edge healthcare technology.

Great to Have:

Retrieval-Augmented Generation experience.
Proficiency in coding/programming experience (python, node.js) as well as exposure to full-stack integration.
MLOps/LLMOps/NLP model evaluation, deployment, and monitoring performance metrics.
Practice with experimentation techniques.
Proficiency in data manipulation and analysis using tools like pandas, NumPy, and SQL.