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 solid software engineering skills and experience taking AI solutions into production.

Key Responsibilities:
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.
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.
MCP & Tool Integration
Desig

📌 Lead Agentic Ai Engineer Bengaluru
🏢 Blend360 India
📍 Bengaluru