Ai engineer

3 weeks ago

Bangalore, 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 startup 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 Lang Graph 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 Lang Graph, 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 direction Qualifications 1+ years of experience in AI/ML, NLP, or backend system design Strong Python engineering fundamentals and practical experience with Lang Graph, Lang Chain, 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 (Open AI, 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 pragmatic If 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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