Job title: Senior Agentic AI Engineer

Experience : 6+ Years

Location : Pune/Banglore

Work Mode : Remote

Notice Period: Immediate The Opportunity

This is a role in a new AI engineering squad. You'll work across the full agentic stack from designing agent architectures and RAG pipelines to shipping autonomous agents that replace manual processes in production. Hands-on, delivery-focused, and consequential from day one.

What You'll Do

Agents

- Design and build multi-agent systems for autonomous reasoning, planning, and task execution
- Architect orchestration patterns; tool use, memory, reflection loops, human-in-the-loop handoffs
- Deliver across use cases: developer productivity agents, knowledge retrieval agents, and process automation
- Favour GCP-native and enterprise-grade managed services before writing custom infrastructure, we're not in the business of rebuilding what a major cloud vendor will productise in six months

RAG, Knowledge & Graph
- Design and implement end-to-end RAG architectures ingestion, chunking, embedding, retrieval,

reranking
- Select and manage vector databases appropriate to the use case
- Build knowledge pipelines that turn unstructured client data into queryable intelligence
- Apply knowledge graph structures (e.g. Neo4j) where relational or semantic reasoning adds value beyond flat vector retrieval

Evaluation & Observability
- Design and own eval frameworks; automated evals, LLM-as-a-Judge, task-completion harnesses
- Define what 'working correctly' looks like for each agent and measure it continuously in production




- Instrument agents for cost, latency, and quality

Platform & Collaboration
- Contribute to platform standards how agents are built, deployed, monitored, and governed
- Ensure agents are production-grade: observable, cost-aware, GDPR and EU AI Act compliant
- Work with engineering, business stakeholders, and the Director of Platform, Engineering & AI to translate process problems into agentic solutions

What We're Looking For

Must-Have
- Production experience building and deploying agentic AI systems not just prototypes
- Strong Python engineering: clean, tested, maintainable code
- Hands-on RAG pipeline design chunking strategies, embedding models, retrieval, evaluation
- Production experience with at least one vector database
- LLM evaluation experience automated evals, LLM-as-a-Judge, or equivalent agent accuracy measurement
- Familiarity with agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar) and the judgement to know when not to use them
- Solid LLM fundamentals: prompting, tool calling, structured outputs, context management
- Cloud infrastructure comfort GCP preferred; strong AWS/Azure considered

Nice-to-Have
- Google Agent Development Kit (ADK)



or Vertex AI Agent Builder
- MCP (Model Context Protocol) and agent-to-agent communication patterns
- Knowledge graphs or graph databases (Neo4j, JanusGraph) in retrieval or reasoning contexts
- LLMOps / observability tooling LangSmith, Langfuse, or equivalent
- Experience building agents in regulated or enterprise environments
- Background in BPO, AP automation, or document processing workflows

What Good Looks Like

- Shipped agents, not demos production deployment matters more than framework familiarity
- Engineering mindset you care about reliability, cost, testability, and observability
- Built evals, not vibes you measure whether agents work and instrument from day one
- Build-vs-buy judgment you reach for GCP-native and enterprise tooling before writing custom infrastructure you've seen bespoke orchestration layers made redundant by a platform release, and you build accordingly
- Comfortable with ambiguity you help define the patterns rather than follow them
- Business curious you want to understand the process you're automating, not just the stack A Note on This Role

Agentic AI engineering is genuinely new. We don't expect 10 years of experience in a discipline that's 2 years old. What we do expect is evidence of building real things, strong software engineering foundations, and the intellectual curiosity to stay ahead of a rapid-moving field. If you've been doing this seriously for 18 months and have production systems to show for it, we want to hear from you.

📌 Senior Agentic AI Engineer (Bengaluru)
🏢 Optimum Data Analytics
📍 Bengaluru