Full-time ML/AI Research Engineer on the Agentic AI Lab founding team in the San Francisco Bay Area, fine-tuning open-source LLMs and building RAG pipelines and knowledge-graph-integrated agent systems for enterprise data. Responsibilities include RL pipelines (RLHF, DPO, PPO), evaluation harnesses, and inference optimization. Preferred stack includes HuggingFace Transformers, DeepSpeed, vLLM, LangChain, LangGraph, Weaviate, Qdrant, Neo4j, Ray, and Kubernetes.
ML/AI Research Engineer — Agentic AI Lab (Founding Team)
Location: San Francisco Bay Area
Type: Full-Time
Compensation: Competitive salary + meaningful equity (founding tier)
Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.
About the Role
We’re designing the future of enterprise AI infrastructure — grounded in agents, retrieval-augmented generation (RAG), knowledge graphs, and multi-tenant governance.
We’re looking for an ML/AI Research Engineer to join our AI Lab and lead the design, training, evaluation, and optimization of agent-native AI models. You'll work at the intersection of LLMs, vector search, graph reasoning, and reinforcement learning — building the intelligence layer that sits on top of our enterprise data fabric.
This isn’t a prompt engineer role. It’s full-cycle ML: from data curation and fine-tuning to evaluation, interpretability, and deployment — with cost-awareness, alignment, and agent coordination all in scope.
Core Responsibilities
Desired Experience
Model Training:
RAG + Knowledge Graphs:
Agent Intelligence:
Optimization:
Preferred Tech Stack
Soft Skills & Mindset
Why This Role Matters
This role is foundational to our thesis: that agents + enterprise data + knowledge modeling can create intelligent infrastructure for real-world, multi-billion-dollar workflows. Your work won’t be buried in research reports — it will be productionized and activated by hundreds of users and hundreds of thousands of decisions. If this is your dream role - we would love to hear from you.