Full-stack Engineer - L2 (Python/Django + ReactJS) - Hyderabad (India) - Onsite role

Full-Stack Engineer – L2

Full-Stack Engineer - Python/Django + ReactJS (Backend-Heavy)

📍 Location: Hyderabad, India

📍 Work Type: Full-Time | On-site / Hybrid

📍 Experience: 3–5 Years

Role Overview

Build end-to-end product features across React frontends and Python backends. Ship reliable, well-tested code for AI-powered healthcare applications. Leverage AI coding tools daily as a core part of your workflow.

Key Responsibilities

Product Engineering

• Develop and ship user-facing features across frontend (React, TypeScript) and backend (Python, FastAPI)

• Design and implement RESTful and GraphQL APIs; own data models and database design

• Work with relational and non-relational databases; write efficient, optimized queries

AI Integration

• Integrate OpenAI, Anthropic, and Gemini APIs into product workflows

• Develop agentic workflows, RAG systems, and LLM-powered features

• Apply prompt engineering and LLM API best practices in production

Quality & SDLC

• Write unit, integration, and end-to-end tests; maintain high code coverage

• Participate in code review, CI/CD workflows, and SDLC best practices

• Leverage AI coding tools (Cursor, Copilot, Claude Code) to increase velocity

• Collaborate with product and design on requirements and validation

Requirements

• 3–5 years full-stack development

• Strong JavaScript/TypeScript and React (or similar frontend framework)

• Backend expertise: Python (FastAPI, Django, or similar)

• API design, databases, and data modeling

• LLM API integration and prompt engineering basics

• Version control, code review, and CI/CD workflows

• Testing practices and maintainable, production-grade code

• Startup mindset, strong ownership, and AI-first working style

Nice-to-Have

• LangChain, LlamaIndex, or agentic framework experience

• Real-time systems: WebSockets, streaming, Server-Sent Events

• Cloud deployment and containerization (AWS/GCP, Docker, Kubernetes)

• SDLC maturity: pre-commit hooks, type checking, linting, test automation

• Healthcare technology or health-tech startup experience

Why This Opportunity?

• Build infrastructure and products powering real-world healthcare AI

• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)

• Mission-driven impact — improve patient outcomes and save thousands of staff hours

• High ownership, rapid learning, and significant career upside

• Global collaboration across India and the US

• Seed-stage growth — scale from Seed to Series A alongside the team