Full Stack Engineer

7 days ago


Cochin, Kerala, India HealthSigns Full time ₹ 5,00,000 - ₹ 15,00,000 per year

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 the heart of it lies our
Intelligence Kernel
, the reasoning layer that drives decision-making, workflow automation, and large-scale clinical intelligence across multiple care domains.

Role Overview

We're looking for a
Full Stack Developer (Python + Angular)
who loves working close to the metal — writing clean, efficient code in
core Python
while also building intuitive, responsive
frontend interfaces
using
Angular
or equivalent modern frameworks.

You'll be part of the
Intelligence Kernel
team, responsible for developing APIs, backend logic, and scalable data layers that interact with
AI and LLM-driven components
, while ensuring seamless user experiences on the frontend.

This role is ideal for someone who is technically curious, hands-on with data modeling and UI development, and eager to explore how
AI and LLMs
can transform healthcare systems at scale.

Key Responsibilities

  • Design, develop, and maintain
    REST APIs using core Python
    , ensuring performance, clarity, and scalability.
  • Build and optimize
    frontend components and dashboards using Angular (or React)
    for doctor and operations-facing workflows.
  • Design and manage
    MongoDB schemas
    and document-based data models.
  • Collaborate with AI engineers to integrate
    LLM modules
    , reasoning engines, and contextual intelligence pipelines.
  • Connect backend services across Labs, Transcription, EMR, and Analytics layers to form unified workflows.
  • Ensure cross-platform consistency, responsive design, and smooth API-frontend communication.
  • Write clean, modular, and well-documented code with proper testing and
    CI/CD integration
    .
  • Continuously explore new
    AI frameworks
    , frontend design patterns, and architectural improvements to evolve the
    Intelligence Kernel
    .

Technical Skills

Must-Have:

  • Strong proficiency in
    Core Python
    (no heavy framework dependency)
  • Proven experience in
    frontend development
    using
    Angular (preferred)
    or
    React
  • Expertise in
    REST API design and integration
  • Hands-on experience with
    MongoDB / NoSQL databases
  • Solid understanding of
    OOP principles
    ,
    data structures
    , and
    asynchronous programming
  • Familiarity with
    Git
    ,
    Docker
    , and
    CI/CD pipelines
  • Strong grasp of
    UI/UX fundamentals
    , responsive layouts, and component architecture.

Good-to-Have:

  • Exposure to
    LLMs
    ,
    AI pipelines
    , or integrations with APIs (OpenAI, Hugging Face, etc.)
  • Knowledge of
    PostgreSQL
    ,
    Redis
    , or
    message queues (Celery/Kafka)
  • Familiarity with
    healthcare data structures (FHIR/HL7)
    and
    data privacy frameworks
    (HIPAA, DPDP, etc.)

Soft Skills

  • Curious and self-driven — enjoys exploring new technologies across the stack
  • Strong sense of ownership from concept to delivery
  • Excellent collaboration skills across cross-functional teams (Backend, AI, Product, UI/UX)
  • Committed to writing clean, maintainable, and reusable code
  • Comfortable taking on complex, end-to-end technical challenges

What you will Gain?

  • Work on the
    core intelligence layer
    that powers HealthSigns'
    AI-driven healthcare ecosystem
    .
  • Gain
    hands-on experience in AI engineering
    , including
    LLM integration
    ,
    contextual reasoning
    , and
    intelligent workflow automation
    .
  • Build
    full-stack solutions
    that merge backend intelligence with elegant, clinician-facing frontend experiences.
  • Collaborate with an expert team building the
    next generation of healthcare AI infrastructure
    , where every feature directly improves care delivery and operational efficiency.
  • Be part of an environment that values
    innovation, learning, and real-world impact
    over routine execution.

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