Senior Python Developer

3 weeks ago


Kochi, India HealthSigns Full time

About HealthSignsHealthSigns 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 OverviewWe’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 ResponsibilitiesDevelop 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 SkillsStrong 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.BenefitsBe 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.


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