About the Role

We are seeking a Senior/Lead AI Engineer to design, develop, test, and deploy Python-based agentic automations that solve simple-to-medium complexity business problems. The role is focused primarily on building current AI-powered automations end-to-end , from understanding business requirements and solution design through development, testing, deployment, and production stabilization.

Some solutions will be deployed on Google Cloud Platform (GCP) , so hands-on cloud experience is valuable. However, deep GCP expertise is not the primary requirement. We are looking for strong Python engineering, agentic AI solution design, automation, and software development skills .

The engineer will occasionally support the assessment and modernization of existing RPA/UiPath automations by converting them into Python-based agentic solutions. This will be a smaller part of the role, with the primary focus remaining on designing and delivering new AI-driven automations.

Key Responsibilities

- Design, develop, test, and deploy Python-based automations and agentic workflows for simple-to-medium complexity business processes.
- Own automation solutions end-to-end, from requirements analysis and solution design through development, testing, deployment, and production stabilization.
- Design and integrate agentic AI capabilities , including LLM-based agents, tool calling, orchestration frameworks, and intelligent decision-making workflows.
- Determine the appropriate level of agentic behavior for each business use case, balancing reliability, complexity, performance, and cost.




- Integrate automations with APIs, databases, enterprise applications, and other business systems .
- Deploy and operate Python-based and agentic applications on Google Cloud Platform (GCP) as required.
- Develop automated unit, integration, and functional tests and integrate testing into CI/CD pipelines to ensure reliable and repeatable deployments.
- Troubleshoot production issues, diagnose technical defects, optimize performance, and stabilize automations prior to transition to support teams.
- Occasionally evaluate existing RPA/UiPath automations and identify opportunities to modernize or convert them into Python-based agentic solutions.
- Provide technical guidance and mentorship to junior and mid-level engineers within the delivery pod.
- Conduct peer code reviews and promote coding standards, reusable components, maintainability, and engineering best practices.
- Represent the technical solution in client discussions, clearly communicating architecture, technical approaches, trade-offs, risks, and recommendations to both technical and non-technical stakeholders.
- Collaborate with Data Engineers, DevOps Engineers, Product Managers, Business Analysts, and business SMEs to understand requirements and deliver against the automation roadmap.
- Participate in Agile/Scrum ceremonies, planning, estimation, prioritization, and iterative delivery.
- Stay current with emerging Agentic AI, LLM, automation, and Python engineering technologies and continuously identify opportunities to improve delivery practices and solution offerings.

📌 Senior Python Lead AI Engineer (Bengaluru)
🏢 Rock Interview ( We are Changing shortly)
📍 Bengaluru