Job Title: AI/LLM Technical Lead
Experience: 8+ Years (AI relevant experience of 3+ years)
Location: Pune (Amar Tech Park, Balewadi) – Full-time, In-office
Domain: Healthcare (Preferred – Value-Based Care / Population Health)
About Fold Health
Fold Health is building the AI foundation for value-based healthcare. Our in-house AI engine, Unity, powers intelligent documentation, reasoning, and automation for healthcare providers, payers, and care teams.
We’re looking for an AI/LLM Technical Lead to architect, guide, and scale agentic and generative AI systems that improve care delivery efficiency and drive real-world outcomes.
Responsibilities
- Lead architecture, design, and implementation of LLM-based and agentic AI systems for clinical and operational use cases.
- Oversee the development of multi-agent orchestration frameworks (reasoning, planning, and task execution) using tools such as LangGraph, CrewAI, or Semantic Kernel.
- Build scalable RAG pipelines and retrieval systems using vector databases (Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
- Guide engineers on prompt design, model evaluation, multi-step orchestration, and hallucination control.
- Collaborate with product managers, data engineers, and designers to align AI architecture with business goals.
- Manage end-to-end AI lifecycle — data ingestion, fine-tuning, evaluation, deployment, and monitoring on Vertex AI / AWS Bedrock / Azure OpenAI.
- Lead scrum ceremonies, sprint planning, and backlog prioritization for the AI team.
- Work directly with external stakeholders and customer teams to understand requirements, gather feedback, and translate insights into scalable AI solutions.
- Ensure compliance with HIPAA, PHI safety, and responsible AI governance practices.
- Contribute to hiring, mentoring, and upskilling the AI engineering team.
Must-Have Skills
- Deep expertise in LLMs, RAG, and Agentic AI architectures, including multi-agent planning and task orchestration.
- Hands-on experience with LangChain, LangGraph, CrewAI, or Semantic Kernel.
- Strong proficiency in Python, cloud-native systems, and microservice-based deployments.
- Proven track record of leading AI projects from concept to production, including performance optimization and monitoring.
- Experience working with healthcare data models (FHIR, HL7, clinical notes) or similar regulated domains.
- Experience leading agile/scrum teams, with strong sprint planning and delivery discipline.
- Excellent communication and collaboration skills for customer-facing discussions, technical presentations, and cross-team coordination.
- Deep understanding of prompt engineering, LLM evaluation, and hallucination mitigation.
General Skills
- Strong leadership, mentorship, and people management abilities.
- Excellent written and verbal communication for both technical and non-technical audiences.
- Ability to balance technical depth with product priorities and delivery timelines.
- Adaptability to fast-changing AI technologies and ability to evaluate new tools pragmatically.
- A bias toward ownership and proactive problem-solving in ambiguous situations.
- Empathy for end-users and a commitment to responsible AI in healthcare.
Good to Have
- Experience leading AI platform initiatives or building internal AI tooling.
- Exposure to MLOps, continuous evaluation pipelines, and observability tools for LLM systems.
- Knowledge of multi-modal AI (text + structured + image data).
- Prior experience integrating AI into production SaaS platforms or healthcare systems.
Why Join Fold Health
- Lead the development of next-generation AI systems transforming healthcare delivery.
- Collaborate with world-class data, product, and clinical teams on meaningful challenges.
- Shape the AI roadmap and mentor a growing team of engineers in an innovation-first culture.
- Work on cutting-edge Agentic AI and LLM applications deployed in real-world healthcare settings.
