We're building agentic AI systems that autonomously reason, plan, and act across complex workflows. You'll be a core contributor designing and shipping production-grade AI agents, integrating with LLM providers, orchestrating multi-step workflows, and building the infrastructure that makes agents reliable, observable, and scalable. This is a deeply technical role — you'll work at the intersection of LLM engineering, backend systems, and agent architecture.
Job Title - Senior AI & Agentic System Engineer
Location - Gurgaon, India (You may note that this role is fully remote)
Level – Senior (5+)
Team – AI Platform / Engineering
WHAT YOU'LL DO
Design and build AI agents — autonomous systems that use tools, browse the web, call APIs, manage memory, and complete multi-step tasks with minimal human intervention Architect agentic workflows — orchestrate multi-agent pipelines (planner → executor → verifier patterns), handle tool-use loops, HITL checkpoints, retries, and failure recovery Integrate LLM providers — work with Anthropic Claude, Open AI, Gemini; implement prompt caching,



structured outputs, and context management at scale; select the right model for the right task Build knowledge pipelines — design RAG systems, hybrid retrieval, vector stores, embedding pipelines, and memory layers that give agents contextual awareness Own backend reliability — REST/Graph QL APIs, async job queues, observability, latency optimization, cost tracking for token usage Drive system design decisions — lead architecture discussions, define component boundaries, evaluate build vs. buy tradeoffs, and document decisions (ADRs, diagrams) Maintain CI/CD pipelines — keep deployments fast, secure, and automated across dev/staging/prod environments Evaluate agent behavior — build LLM tracing, regression frameworks, and evals pipelines to detect behavioral drift, intent failures, and quality degradation across model updates Stay ahead of the curve — evaluate emerging standards (MCP, A2 A, reasonin

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