Senior Agentic AI Engineer

Job Summary

Lead the design and development of advanced AI agent systems, focusing on real-world automation, multi-agent orchestration, and scalable LLM-powered solutions for enterprise use cases.

Job Details

• Experience level: Senior
• Employment Type: Full-time
• Location: India
• Workplace Type: On-Site

Qualifications

Preferred / Strong Plus

• Experience in B2B/MSME product environments, understanding operational constraints such as cost sensitivity, connectivity limitations, and workflow automation needs.
• Familiarity with open-source conversational frameworks such as Rasa, Botpress, or Microsoft Bot Framework.
• Experience optimizing LLM inference for latency and cost (quantization, batching, dynamic model routing, caching).
• Strong understanding of conversational product metrics (resolution rate, deflection rate, handle time, CSAT) and how to optimize models and pipelines for them.

Additional Bonus Qualifications

• Familiarity with Model Context Protocol (MCP) and designing systems where agents interact with external tools and structured knowledge through MCP-style interfaces.
• Experience building agent-to-agent (A2A) systems, multi-agent orchestration, or agent collaboration frameworks for task delegation and workflow automation.
• Experience integrating LLM agents with enterprise tools via MCP-compatible tool servers, structured APIs, or workflow orchestration systems.
• Knowledge of emerging agent infrastructure ecosystems (tool registries, agent communication protocols, tool-use policies, guardrails).

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