Senior Agentic AI Engineer

This is a remote position.

Senior AI & Agentic System Engineer Experience:5+ Years Location:Gurgaon, India / Fully Remote Team:AI Platform / Engineering

About the Role

We are looking for aSenior AI & Agentic System Engineerto design and build production-grade AI agents that can reason, use tools, interact with APIs, and execute complex multi-step workflows.

You’ll work at the intersection ofLLM engineering, agent architecture, backend systems, and cloud infrastructure, with significant ownership over architecture, reliability, evaluation, and scalability.

Requirements

Key Responsibilities

• Design and build autonomous AI agents capable of tool use, web/API interaction, memory, and multi-step task execution.
• Architect agentic workflows includingplanner/executor/verifier, multi-agent, HITL, retry, and failure-recovery patterns.
• Integrate LLM providers such asOpenAI, Anthropic, and Gemini, including structured outputs, function calling, context management, and prompt optimization.
• BuildRAG and knowledge pipelinesusing embeddings, vector databases, hybrid search, reranking, and agent memory.
• Develop scalable backend services usingPython and/or Node.js/TypeScript, REST/GraphQL APIs, async processing, and background jobs.
• Design reliable distributed systems with appropriate patterns for state persistence, caching, idempotency, event-driven workflows, and fault tolerance.
• Build observability and evaluation frameworks for AI systems, including tracing, behavioral regression testing, latency, quality, and token-cost monitoring.
• Own CI/CD and cloud deployments across development, staging, and production environments.
• Evaluate emerging technologies such asMCP, A2A, reasoning models, and agent frameworksand recommend practical adoption.

Required Skills

• 5+ years of software/backend engineering experience with strong system-design expertise.
• Hands-on experience buildingproduction AI agents, beyond basic chatbot implementations.
• Strong experience with at least one major LLM provider SDK:OpenAI, Anthropic, or Gemini.
• Strong understanding ofprompt engineering, tool/function calling, structured outputs, context management, and token optimization.
• Experience with agent frameworks/patterns such asLangGraph, CrewAI, AutoGen, ReAct, or plan-and-execute.
• StrongPython and/or Node.js/TypeScriptdevelopment skills.
• Experience withRAG, embeddings, vector databases, hybrid retrieval, and reranking.
• Strong knowledge ofREST/GraphQL APIs, asynchronous processing, databases, and distributed systems.
• Hands-on AWS experience, particularlyLambda, ECS/Fargate, API Gateway, S3, SQS, SNS/EventBridge, IAM, and CloudWatch.
• Experience withDocker, GitHub Actions, and Terraform.
• Understanding of AI security, includingprompt injection, guardrails, output validation, and safe tool execution.

AI/LLMOps & Evaluation

Experience with tools such as:

• Langfuse, LangSmith, Helicone, or Arize Phoenix
• RAGAS, DeepEval, Promptfoo, or Braintrust
• LLM tracing, behavioral evaluations, regression testing, and cost monitoring.

Nice to Have

• Browser automation usingPlaywright or Puppeteer.
• Experience with multimodal/vision-based agents.
• Knowledge ofGraphRAG and knowledge graphs.
• Experience withTemporal or durable workflow execution.
• Open-source contributions to AI tooling.
• Background in ML/data science alongside software engineering.

Tech Stack LLMs:OpenAI, Anthropic Claude Agent Infrastructure:Custom orchestration, MCP Backend:Python, Node.js/TypeScript Cloud:AWS Lambda, ECS/Fargate Data:PostgreSQL, S3, SQS, DynamoDB CI/CD:GitHub Actions Observability:Datadog, CloudWatch, Langfuse IaC:Terraform Browser Automation:Playwright

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