Agentic AI Automation Engineer
HRS3–5 yrsChandigarhOn-siteDirect career pageEst. 12–20 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy production AI autonomous crews for operational workflows across multiple departments, ensuring real-world impact and measurable outcomes from day one.
- Collaborate within a 10-day delivery lifecycle to deliver fully tested, instrumented, and documented AI workflows including orchestration, escalation boundaries, and human-in-the-loop gates.
- Maintain and improve observability and production reliability, diagnosing and resolving issues using New Relic metrics and continuous feedback loops.
Minimum Requirements
- 3–5 years in AI/ML development with at least 1 year of production experience in agentic AI or advanced LLM-based systems.
- Hands-on experience with DSPy typed signatures and assertion guards; practical exposure to agent frameworks such as LangGraph, Google ADK, Amazon Bedrock AgentCore, LangChain, or similar.
- Proficiency in Python programming with AI/ML libraries, and experience with AWS Bedrock or equivalent cloud-based LLM management.
- Work Experience Required: 3–5 years AI/ML with 1+ year agentic AI production experience; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building robust, production-grade AI workflows that incorporate human-in-the-loop decision-making and escalation design within strict deployment cycles.
- Comfortable working with multiple agent frameworks, DevOps infrastructure (EKS, Terraform), and production observability tools like New Relic to ensure code quality and system reliability.
- Domain familiarity with Finance, Controlling, HR, Operations, Customer Service, or Customer Experience to contribute informed escalation boundaries and integration with enterprise systems.