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Mid-level popular backend title, metro Bengaluru, and VC-backed startup increase competition despite AI specialization.
Role requires applied LLM and backend production experience, making cross-industry transferability limited.
Explicit 2–4 years requirement plus mandatory 1+ years AI/LLM experience and backend production skills.
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Own and scale core backend and agentic AI systems enabling live personalized in-app marketing experiences for 300M+ users.
Build, deploy, and maintain reliable, low-latency LLM agent orchestration workflows and retrieval systems operating under high load.
Design and implement data modeling, evaluation, and cost control mechanisms ensuring system resilience and scalable production performance.
2 to 4 years total engineering experience, including 1+ years building AI/LLM systems with production deployments under real load.
Proficiency in backend languages such as Go, Python, or TypeScript/Node.
Hands-on experience with LLM tools including agent orchestration, tool-calling, retrieval, or prompt design.
Familiarity with production operational concerns: timeouts, retries, failure handling, and observability in non-deterministic AI systems.
Strong systems thinking focused on scalable, reliable design with clear failure modes in complex AI-driven backend systems.
Ability to independently ship end-to-end AI backend systems spanning data modeling, API design, and deployment.
Experience thriving in a high-growth startup environment balancing rapid iteration with engineering rigor and applied AI judgment.