Job Description
📋 Description Leverage prompt-engineering and RAG to optimize platform on biopharma data. Wrangle commercial and marketing data into complex LLM pipelines for compliant content. Implement ML Ops practices, including CI/CD pipelines, model versioning, automated testing, and monitoring. Develop LLM eval infrastructure to store, analyze and iterate on outputs and client feedback. Scope, architect, and build SOTA agents and pipelines while supporting customers directly. Flex across the full stack (frontend, backend, infra) to support customers. 🎯 Requirements Engineering chops: building systems and deploying enterprise-grade products. Independent thinking; able to drive results autonomously. Strong Python, FastAPI, Docker, AWS skills. Experience with LLMs (GPT, Claude, Gemini) for workflows and RAG. Excellent communication and collaboration skills. Strong, relentless work ethic. 🎁 Benefits Health, dental, and vision insurance Ground-floor equity opportunity 12 days PTO 401(k) Visa sponsorship (O-1, H-1B, TN) available Relocation support
