AI Engineering Lead - Agentic Engineering

Overview

Lead AI Engineering role focused on building production-grade agentic AI and AI-powered engineering systems and applying agentic engineering across the SDLC.

What you'll do

• Drive adoption of agentic engineering practices across the software development lifecycle.
• Build AI-assisted workflows for requirements analysis, code generation, understanding, refactoring, testing, debugging, documentation, code review, and deployment.
• Design agent workflows for large-codebase understanding, context management, tool use, multi-step task execution, and failure recovery.
• Establish best practices for context management, tool calling, agent orchestration, guardrails, human-in-the-loop workflows, and autonomous task execution.
• Design and implement evals to measure agent correctness, reliability, code quality, task completion, regression, and overall effectiveness.
• Architect production multi-agent and agentic systems with planning, reasoning, execution, reflection, validation, and error recovery.

What you'll need

• 6+ years of software engineering / AI engineering experience.
• Experience building production-grade AI applications and services.
• Demonstrable experience building production-grade agentic AI systems (beyond chatbots or basic RAG).
• Experience with agent evaluation (designing eval frameworks, datasets, test scenarios, metrics, regression tests, quality gates).
• Hands-on Python and modern backend/API development experience.
• Experience with LLMs/GenAI, agent orchestration, tool calling, and RAG.
• Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, or equivalents.

Details

• Location: Hyderabad, TS, India.