AI-Native Full Stack Engineer

About Apra Labs
Apra Labs is a ~60-person engineering company in Derry (NH, USA), Bengaluru and Dubai, founded by engineers with 100+ person-years across computer vision, embedded systems, biometrics and cloud. We build our own products (ApraPipes, our open-source video framework; AVMS, our video management platform; and apra-fleet, our open-source multi-agent orchestration platform) and run engineering programs for enterprise and mission-driven customers across several industries.
We are AI-native. Agents write most of our first drafts, and AI runs inside what we ship.
The Role
Full Stack Engineer – AI-Native. Full time, on-site in Bengaluru, 3–7 years of experience. You own features end to end on one of three tracks:
- Web apps – Cloud-backed business applications: workflow automation, data extraction, AI-assisted review, dashboards
- Mobile apps – Cross-platform field apps with offline sync, on-device and cloud AI
- Video pipelines, streaming and video AI – Edge-to-cloud video on NVIDIA Jetson and DGX Spark: capture, low-latency streaming (RTSP, WebRTC, HLS), video AI and analytics (detection, tracking, search, VLM event understanding), device fleets, playback
The bar is the same on every track: you build with AI, and you ship AI.
What You'll Do
- Build end to end: TypeScript/React web or cross-platform mobile front ends, C/C++, C#/.NET or Python services and APIs, SQL and NoSQL data.
- Direct coding agents (Claude Code, apra-fleet) as your default way of working. You write the spec, tests and agent instructions; you review and own every line.
- Ship LLM features in production (extraction, summarization, classification, search, video understanding, copilots) behind typed contracts, evals and cost budgets.
- Expose systems to agents through MCP servers with auth, audit and data redaction.
- Run what you ship: CI/CD, containers, Azure/AWS, observability.
You Have
- 3–7 years shipping production web or mobile apps across front end, back end and database.
- Strong C/C++, C#/.NET or Python on the backend; strong TypeScript, React and CSS on the front.
- Daily use of coding agents on real work, and the habit of catching their mistakes.
- At least one LLM-powered feature live in production.
- Git, automated testing, CI/CD and clear written English.
Bonus Points
- MCP servers, agent workflows or eval harnesses you built.
- GStreamer or ApraPipes, CUDA, NVIDIA Jetson or DGX Spark, or video streaming (WebRTC, HLS).
- Work with sensitive or regulated data (PII redaction, de-identification, access control).
- Open-source contributions.
Why Join
- Frontier models and coding agents paid for, plus NVIDIA Jetson and DGX Spark hardware to build on.
- Work that matters: our own products and customer programs with real-world impact.
- Small teams, direct access to the founders, and mentors with decades of systems experience.
How We Hire
AI is allowed at every stage: a 4-hour take-home built with your agents, a live session extending it, a review of an agent-written pull request with seeded bugs, and a conversation with the founders.

Work arrangement
No