Remote (US-based)
Full-time / Permanent
We’re working with an AI-native company operating at the intersection of healthcare, insurance, and regulated enterprise systems. They’re building production-grade Agentic AI and LLM platforms that automate complex, high-impact decision workflows.
They’re hiring a hands-on AI / LLM Lead to own the design, deployment, and evolution of autonomous, agent-driven systems in production.
Why this role matters
This is a core technical ownership role.
You’ll be building AI systems that:
- Interpret and reason over complex documents
- Orchestrate multi-step workflows autonomously
- Drive real decisions in regulated environments
What you’ll do
- Lead end-to-end AI & LLM system design from architecture to production
- Build agent pipelines using LangChain, LangGraph, and adjacent tooling
- Deploy and optimize open models using vLLM, TGI, and Python inference stacks
- Fine-tune, evaluate, and integrate open-source LLMs (e.g. Llama, Mistral, Qwen)
- Design robust prompt, planning, and tool-execution strategies
- Build and operate large-scale embeddings retrieval pipelines
- Apply unsupervised ML (clustering, similarity, anomaly detection) on tabular data
What they’re looking for
- Hands-on experience with Agentic AI & autonomous systems
- Proven track record deploying LLMs in production
- Experience with vLLM, TGI, or similar model-serving stacks
- Strong experience with open-source LLMs (Llama, Mistral, Qwen, etc.)
- Experience with LangChain, LangGraph, or equivalent frameworks
- Hands-on OCR experience (scanned PDFs, complex layouts)
- Solid understanding of chunking, embeddings, vector search, and retrieval
Ideal mindset
- Owns systems end-to-end
- Comfortable making high-stakes technical decisions
- Thrives in fast-moving, ambiguous environments
- Thinks in systems, not scripts
