Senior Full-Stack Engineer - L3 (Python-Django+ReactJS) - Hyderabad (On-site role)

Senior Fullstack Engineer - Python/Django+ReactJS (Backend Heavy)

📍 Location: Hyderabad, India

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

📍 Experience: 5–8 Years

Role Overview

Lead complex full-stack system design and delivery. Own technical decisions, raise the engineering bar, and drive AI-powered feature development across React and Python. A hands-on senior engineer who shapes architecture and mentors the team.

Key Responsibilities

Architecture & Technical Leadership

• Architect and build complex, scalable full-stack features end-to-end

• Make and document key technical decisions (frameworks, patterns, APIs, data models)

• Design robust backend services in Python and data models for performance and scale

• Identify and resolve performance, reliability, and scalability bottlenecks

AI Systems

• Lead AI/LLM-driven feature integration into production (OpenAI, Anthropic, Gemini APIs)

• Architect agentic workflows, RAG systems, and conversational AI features

• Define LLM integration patterns and best practices for the team

Quality, SDLC & Mentorship

• Drive code quality through reviews, standards, and testing strategy

• Shape SDLC practices and engineering standards across the team

• Mentor mid-level engineers on technical challenges and architecture

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

• Partner closely with product and design on roadmap and scope

Requirements

• 5–8 years full-stack engineering

• Expert TypeScript/JavaScript and modern frontend framework (React preferred)

• Strong backend expertise: Python (FastAPI/Django) and system design

• LLM/agentic systems integration in production (OpenAI, Anthropic, Gemini)

• Proven experience architecting scalable web applications

• Deep databases, caching, and API design at scale

• Track record mentoring engineers and leading technical initiatives

• Strong ownership mindset and AI-first working style

Nice-to-Have

• Event-driven and real-time architectures (WebSockets, SSE, Kafka)

• Cloud and DevOps fluency for end-to-end ownership (AWS/GCP, Docker, K8s)

• SDLC leadership: standards, testing strategy, developer experience

• 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