Lead Agentic AI Engineer (Bengaluru)

Lead Agentic AI Engineer (Bengaluru)

16 Aug
|
Blend360 India
|
Bengaluru

16 Aug

Blend360 India

Bengaluru

About the Role:

We are looking for an Agentic AI Engineer to design, build, and deploy production-grade AI agents capable of executing complex, multi-step workflows through natural language interactions.

The role will focus on integrating LLMs, agent orchestration frameworks, MCP tools, AI coding agents, context/harness engineering, APIs, and enterprise systems to build intelligent assistants that can reason, use tools, execute actions, and validate results.

The ideal candidate has hands-on experience building agentic workflows beyond straightforward chatbots or PoCs, with strong software engineering skills and experience taking AI solutions into production.

Key Responsibilities:

1. Agentic AI Development & Orchestration
- Design and develop LLM-powered autonomous and semi-autonomous agents capable of executing complex, multi-step workflows.
- Build agent workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies.
- Implement planning, task decomposition, tool selection, execution, observation, retry, and validation loops.




- Develop agents that can interact with enterprise applications, APIs, databases, and developer tools through natural language.

2. Context & Harness Engineering
- Design and implement context engineering strategies to provide agents with the right instructions, task context, application state, tools, and relevant information at the right time.
- Develop AI agent harnesses that manage agent state, tool access, permissions, execution workflows, guardrails, retries, and verification.
- Engineer repository and application context for AI coding agents such as Claude Code, OpenAI Codex, or similar platforms.
- Develop effective agent instructions, project context, coding guidelines, workflows, and automated verification mechanisms to improve agent reliability and developer productivity.
- Optimize context usage to reduce unnecessary token consumption, latency, and LLM costs.

3. MCP & Tool Integration
- Desig

📌 Lead Agentic AI Engineer (Bengaluru)
🏢 Blend360 India
📍 Bengaluru

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