Job Description

Roboyo AI is a category shaper in Applied AI and Agentic Automation. We help leading enterprises move from automation projects and AI experiments into governed, production-grade systems that execute real work across workflows, processes, products and services.

Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clients operate.

We are not here to sell AI theatre. We are here to turn AI into working systems, measurable outcomes and repeatable transformation programs.

About the Role

We're looking for a Senior Automation Engineer to design, build, and deploy Python-based agentic automations for easy-to-medium complexity business tasks, end-to-end from design through testing and deployment. Some of this runs on GCP, so hands-on exposure to the platform is useful,



though deep cloud expertise isn't the bar — we care most about strong Python and agentic solution design skills. From time to time you'll also help convert an existing RPA automation into a Python-based agentic solution, but that's a small slice of the work — the core of the role is building new automations.

Key Responsibilities
- Design, develop, and deploy new Python-based automations and agentic workflows for simple-to-medium complexity business tasks, end-to-end from requirements through testing and deployment.
- Build and integrate agentic AI components (LLM-based agents, orchestration/tooling frameworks) into automations, choosing the right level of agentic-ness for the task at hand.
- Deploy and operate automations on Google Cloud Platform (GCP) where needed, integrating with APIs, databases, and enterprise systems.
- Write and execute automated unit and integration tests, and run these through CI/CD pipelines to ensure reliable deployments and mitigate production risk.
- Diagnos

📌 Senior Python (Hyderabad)
🏢 Roboyo
📍 Hyderabad