Principal Machine Learning Engineer (GenAI Products with Enterprise Knowledge)
Core
Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling to accelerate team work, discovery, and creation.
Role type
Principal Machine Learning Engineer (GenAI Products)
Builds
GenAI-powered assistants, agentic workflows, and scalable systems for enterprise knowledge
Domain
Enterprise SaaS, Generative AI, Knowledge Management
Deliverable
production ML models | product features
Required skills
LLMs, NLP, search, retrieval-augmented generation (RAG), embeddings, hybrid retrieval, agentic workflows, scaling ML systems, fine-tuning, post-training, LangChain, LlamaIndex, vector DBs
Preferred skills
multimodal models, knowledge graphs, semantic embeddings, evaluation metrics (NDCG, groundedness, human preference modeling), open-source ML framework contributions
Technologies
OpenAI, Anthropic, Mistral, OSS, LangChain, LlamaIndex, vector DBs
Responsibilities
Design and build novel approaches for knowledge-grounded LLMs; drive POC experimentation for agentic workflows and GenAI assistants; act as technical anchor mentoring engineers; influence design across retrievers, rankers, and serving infrastructure; contribute to innovation roadmap for GenAI products
Seniority
Principal, hands-on technical leadership & strategy