Job Summary

As an Automation AI Engineer, you will build, maintain, and extend Radancy s portfolio of AI agents and automation solutions. This is a hands-on delivery role: you take agent concepts and integration requirements from architecture into working, production-grade solutions.
What does a great AI Engineer do
Build and maintain AI agents in Microsoft Copilot Studio (and Agent Builder), configuring instructions, knowledge sources, actions/tools, and generative orchestration
Develop and maintain integrations and custom connectors that ground agents in, and act on, internal and third-party systems, via Power Automate, custom connectors (classic MCP), MS Graph, REST/APIs, and backing services (e.g. BigQuery, Cloud Functions, or other cloud/on-prem endpoints as needed)
Curate and ground agents on knowledge sources so answers are accurate, scoped, and traceable to their source
Extend existing production agents with current capabilities, data sources, and integrations while preserving reliability and backward compatibility
Follow the established deployment workflow,



using version control in Git and CI/CD via GitHub Actions, and help keep pipelines and environments healthy
Test, debug, and monitor agents across environments; investigate failures and regressions and drive them to resolution
Write and maintain explicit technical documentation for the agents and integrations you build
Contribute to architectural standards and best practices as a practitioner, surfacing what works and what doesn t from day-to-day delivery
Provide hands-on support to citizen developers building their own agents and automations, and help triage the issues they run into
Adhere to security and governance standards (setting separation, access controls, secret handling, documentation)
Qualifications
3+ years in software development, systems integration, or automation engineering, with a track record of shipping working solutions independently
2+ years of real coding exper

📌 Ai Engineer Bengaluru
🏢 TMP Worldwide
📍 Bengaluru