Role : Senior Fullstack Engineer L3 :
Location : Hyderabad, India.
Work Type : Full-Time | On-site / Hybrid.
Experience : 5 to 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 :
1. 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.
2. 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.
3. 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 to 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.
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