About HealthSigns
HealthSigns is building the Intelligent Operating System for Healthcare - An AI-powered platform that unifies EMR, Labs, Transcription, and Care Coordination into one intelligent ecosystem.
At its core lies the Intelligence Kernel , the reasoning and orchestration layer that powers automation, contextual understanding, and clinical intelligence across the HealthSigns stack.
Role Overview
We’re looking for a Senior Python Developer with 5–6 years of experience who can architect and build high-performance backend systems that interact with AI and LLM-driven components.
You’ll be part of the Intelligence Kernel team, working on core services that handle data ingestion, schema validation, and interaction with HealthSigns’ AI modules — including transcription, Smart Scan, and lab interpretation engines.
This role is ideal for a developer who wants to work on real-world AI integration, not just API wrappers — someone who understands how to build scalable backend pipelines that let AI reason, act, and automate clinical workflows.
Key Responsibilities
- Develop and maintain backend APIs and data services in Python that power AI-enabled features.
- Design robust data models, schema validators, and retrieval logic to support structured LLM output.
- Integrate AI / LLM endpoints (e.g., transcription, reasoning, summarization) into production pipelines.
- Build and optimize retrieval-anchored workflows and caching layers for AI interactions.
- Ensure security, reliability, and version control in all AI–backend integrations.
- Collaborate closely with AI engineers and data scientists to productize AI features.
- Mentor junior developers and participate in architecture reviews and sprint planning.
Technical Skills
Strong expertise in Core Python and OOP principles.Experience with FastAPI / Flask, Pydantic, and RESTful API design.Hands-on experience with MongoDB (schema design, indexing, aggregation).Familiarity with LLM / AI integrations (OpenAI, Hugging Face, LangChain, or custom inference APIs).Understanding of message queues (Celery / RabbitMQ), caching, and API orchestration.Exposure to Docker, CI / CD, and cloud environments (Azure / AWS).Experience with retrieval pipelines, schema enforcement, or prompt orchestration is a plus.Benefits
Be part of the team building the AI Intelligence Kernel powering HealthSigns.Work on live AI use cases — transcription, Smart Scan, care automation, and clinical reasoning.Flat hierarchy and rapid growth environment.Flexible remote or hybrid (Kochi) work setup.