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, OpenAI,



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/GraphQL 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 rapid, safe, 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 (

📌 Senior AI (India)
🏢 Alternative Path
📍 India