Associate AI Engineer

3 weeks ago

New Delhi, India Claimsync.ai Full time

We’re building the future of healthcare automation — starting with the post-acute, value-based care space, where both medication overload and revenue cycle complexity are driving unnecessary costs and poor outcomes. Founded by Dev Roy (2x exited founder), our stealth start-up is building multi-agent LLM systems that operate with transparency, accuracy, and traceability — tackling two of the hardest problems in the healthcare stack: medication optimization and revenue cycle management (RCM).We use LangGraph and a tightly structured MCP (Model-Context-Protocol) architecture — where agents don’t just generate text, but operate over stateful contexts, issue tool calls, and follow explicit protocol-guided reasoning loops. The agents we build don’t guess — they explain, document, and prove.Responsibilities- Architect and implement multi-agent systems using LangGraph, leveraging an MCP-inspired structure: agents with memory, contextual tool use, and protocol-defined responsibilities - Build workflows that replicate expert-level medical coding and medication review processes - Design tool interfaces (e.g. vector DB, ICD-10 knowledge graph, FHIR endpoints) and integrate them into agents’ decision-making loops - Orchestrate LLM calls with clear traceability, structured state, and logging for regulatory-grade auditability - Own experiments and iterate rapidly to improve reasoning, accuracy, and output alignment - Collaborate closely with the founder on roadmap, architecture, and product directionQualifications- 1+ years of experience in AI/ML, NLP, or backend system design - Strong Python engineering fundamentals and practical experience with LangGraph, LangChain, or similar agent frameworks - Comfortable building MCP-style architectures — where agents reason with structured inputs, manage context, and follow execution protocols - Experience with LLM APIs (OpenAI, Anthropic, Claude), prompt engineering, and managing token/latency trade-offs - Familiarity with vector search engines (Pinecone, Chroma, Weaviate) and RAG-based retrieval systems - Bonus: background in clinical NLP, medical coding standards (ICD-10, CPT), or exposure to FHIR/HL7 - Startup mindset: autonomous, fast-moving, curious, and deeply pragmaticIf you want to build human-grade AI agents that actually matter — not chatbots, but reasoning systems that impact clinical decisions and billing integrity — we’d love to talk.

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