Senior Software Engineer

Ovii's Interpretation of the Role

Senior Backend Engineer building large‑scale, AI‑enhanced health‑care services. Owns end‑to‑end feature delivery, performance, and production reliability while collaborating with product and design partners.

Role Snapshot

• Backend development
• AI/LLM integration
• Large‑scale system design
• Production ownership
• Mentoring junior engineers

Must-Have Requirements

• Node.js
• TypeScript
• NestJS
• GraphQL
• AWS
• PostgreSQL
• Redis
• LLM integration (Claude, Bedrock, OpenAI)
• LangGraph or similar orchestration library
• LangSmith or equivalent AI observability platform
• Experience delivering large software projects in production
• Understanding of responsible AI practices in regulated healthcare
• Backend development
• Large‑scale system performance
• AI/LLM integration
• Bachelor’s Degree in Computer Science, Engineering or related technical field

Nice-to-Have Signals

• AI coding assistance tools (GitHub Copilot, Cursor)
• Mentoring or onboarding junior engineers
• Distributed systems and scalable architecture knowledge
• Agile development practices
• Experience with healthcare technology or regulated environments
• Distributed systems
• Cloud infrastructure
• Healthcare regulated environments

Work Setup

• Location: Bengaluru, India
• Work mode: HYBRID
• Timezone: Availability for late‑evening meetings aligning with Pacific Time (San Francisco)
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Equity
• Coding test

What You'll Likely Work On

• Design and deliver new product capabilities as a maintainer of key code repositories.
• Build and optimize performant APIs, data models, and AI‑driven clinical agents.
• Profile systems, resolve scaling bottlenecks, and improve availability and reliability.
• Collaborate on technical roadmaps, balancing short‑term delivery with long‑term architecture.
• Mentor junior engineers through code reviews and pair‑programming.
• Integrate LLMs and AI observability tools (LangGraph, LangSmith) into production services.
• Document solutions and communicate technical decisions to product and design partners.

Good Fit If You Have

• Curious learner who explores new technologies and AI tools.
• Clear communicator who can explain complex ideas to non‑technical stakeholders.
• Owner‑operator mindset with a passion for supporting code in production.