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Chief Technology Officer and Senior LLM Engineer (LLMs & Multi-Agent LangChain Workflows)

Salary

$0.02k - $0.2k

Min Experience

10 years

Location

remote

JobType

full-time

About the job

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About the role

N1 Healthcare is redefining longevity medicine through advanced diagnostics, medical NLP, and LLM-powered health intelligence. We're building a future where every patient receives a personalized, AI-generated health report informed by genomics, lab results, and clinical notes—securely and at scale. We're seeking a hands-on Chief Technology Officer and Senior LLM Engineer to lead the company's technical vision while actively building key systems, particularly multi-agent LLM workflows using LangChain. If you're a rare blend of engineering leader and senior LLM engineer, this is your opportunity to lead one of the most ambitious AI healthcare initiatives in the world. To be considered for the role, please create a Loom video walking us through one project in which you personally designed and built a multi-agent system using LangChain. In your video, please cover the following: Number and type of agents used How the agents interacted and passed data Memory persistence strategy (e.g., Chroma, Redis, Pinecone, etc.) Your exact hands-on contributions (versus what your team handled) Tooling and infrastructure used, including vector stores, retrievers, and deployment stack Architectural overview – share diagrams or code snippets that show how you structured agent orchestration and memory Edge cases or bugs – explain the most difficult challenges you faced and how you solved them End users – who used the system, how it was tested, and how you gathered feedback or measured success Responsibilities: Technical Leadership + Strategic Execution Define and execute the company's full-stack technology roadmap. Lead engineering teams across AI/NLP, cloud infrastructure, DevOps, and security. Collaborate directly with cross-functional leaders across medicine, operations, genomics, and product. Build a high-performance engineering culture centered on speed, rigor, and ownership. Hands-On AI Engineering Personally architect and build multi-agent LangChain workflows that parse, route, and synthesize medical data. Design agent interaction logic, memory persistence strategies, and modular pipelines to support diverse use cases (e.g., lab interpretation, genomic analysis, longitudinal data synthesis). Contribute code regularly—especially on AI pipeline design, vector store integration, and RAG optimization. Build custom tools and wrappers on top of LangChain agents, toolchains, and document loaders. What We're Looking For: 10+ years of engineering experience, including at least 3 years leading technical teams. 3+ years of direct, hands-on experience building systems using LangChain, LLMs (e.g., GPT-4, Claude, LLaMA2), and vector search (Weaviate, Pinecone, etc.). Have personally built at least 2 multi-agent LangChain systems—not just reviewed code or managed teams. Deep understanding of agent orchestration, memory persistence (e.g., ChromaDB, Redis, or custom), and agent-to-agent communication flows. Proficiency in Python, FastAPI, Hugging Face Transformers, and common MLOps frameworks. Strong grasp of data security and regulatory compliance Track record of delivering scalable, production-ready AI systems—especially in healthcare or regulated industries. Why N1 Healthcare? Lead the full AI/engineering stack of a high-impact longevity medicine company. Work with a world-class team of medical and AI experts. Build transformative systems that improve health outcomes for real patients. Competitive compensation, equity, and remote flexibility. Own the tech roadmap and shape the future of AI in healthcare.

About the company

N1 Healthcare is redefining longevity medicine through advanced diagnostics, medical NLP, and LLM-powered health intelligence. We're building a future where every patient receives a personalized, AI-generated health report informed by genomics, lab results, and clinical notes—securely and at scale.

Skills

AI
LLM
LangChain
Python
FastAPI
Hugging Face Transformers
MLOps
Data Security
Regulatory Compliance