AI Engineer – Team Lead Agentic AI Engineering

Key Responsibilities

• Lead and mentor a team of AI Engineers buildingLangChain-based agentic AI systems.
• Owntechnical delivery of AI initiatives, ensuring alignment with architecture, quality, and timelines.
• Act as theprimary technical point of contact for stakeholders across Product, Engineering, and Business teams.

Guide the team in:

• Designing agent workflows and decision logic
• Implementing tool invocation and API integrations
• Managing context, memory, and conversation state
  Review code, prompt designs, and agent policies to ensure reliability and safety.
• Drivemigration efforts from RASA-based conversational workflows to modern agent-driven architectures.
• Ensure production readiness includingmonitoring, performance tuning, and incident response.
• Support sprint planning, estimations, and execution while removing technical blockers.
  
  Required Skills & Qualifications
• Hands-on experience building and leading development ofagentic AI systems using LangChain and LLMs.
• Prior experience withRASA or conversational AI platforms.
• Strong proficiency inPython, APIs, and backend system integration.
• Practical experience withRAG, vector databases, and embeddings.
• Good understanding ofagent reasoning, planning, memory, and tool orchestration.
• Experience leading teams inAgile / Scrum environments.
• Strong communication skills with the ability to balancehands-on delivery and team leadership.