Senior Software Engineer (Automation & AI Agentic Engineer)
at Principal
Hyderabad, India, hybrid, senior, full time, 4–7 years
seen 4d ago
- UiPath
- C#
- VB.NET
- Microsoft Power Automate
- AWS Bedrock
- JSON
- Prompt engineering
- LLM
- GitHub Copilot
- SQL
- Azure AI Foundry
- Claude Code
- XML
- UiPath Agentic Automation
- RAG
- Google Vertex AI
- Agent Core
- Copilot Studio
- REST APIs
- Python
About the role
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* 53054 * Engineering & Technology * Regular Full-Time * Hyderabad, India * H916000 - PGS RPA Pune * In-Office few days a week (a minimum of 3 days in office) and Work from Home * PSINASFSI PG19-ASFSI PG19
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What you would do
We are seeking an Automation & AI Agentic Engineer to design, build, and support a hybrid automation portfolio that spans traditional RPA and next-generation agentic AI solutions. The ideal candidate is hands-on across Microsoft Copilot / Copilot Studio, Agent Core, Power Automate, and UiPath (including UiPath Agentic Automation/Agentic Orchestration) evaluate which platform and approach - rule-based bot, low-code flow, or autonomous AI agent - best fits a given business process.
Automation & AI Agentic Engineer (Intelligent Automation Developer)
You'll have opportunity to:
* Design, develop, test, and deploy automation solutions using UiPath and Microsoft Power Automate, following CoE development standards and reusable component libraries. * Build and orchestrate AI agents using Agent Core, UiPath Agentic Automation (agentic orchestration, agent-to-agent/human-in-the-loop workflows), and Microsoft Copilot Studio for goal-driven, autonomous or semi-autonomous process automation. * Use GitHub Copilot (chat, inline completion, agent mode) to accelerate development, code review, and testing across automation and supporting application code. * Assess incoming automation requests and recommend the right-fit solution (deterministic RPA bot vs. low-code Power Platform flow vs. AI agent vs. hybrid) based on process complexity, data variability, and exception handling needs. * Integrate automations with enterprise systems via APIs, databases, message queues, and connectors; manage credentials/secrets securely (vault integration, least-privilege access). * Implement AI components where required: document/IDP processing, LLM-based reasoning steps, prompt design, and retrieval-augmented generation (RAG) patterns for knowledge-grounded agents. * Apply governance, security, and responsible-AI practices: exception handling, logging/observability, human-in-the-loop checkpoints, data privacy, and bias/hallucination mitigation for agentic components. * Participate in solution design reviews (PDD/SDD), UAT, hypercare, and production support/incident triage for deployed bots and agents. * Maintain documentation for developed solutions, including agent decision logic, guardrails, and rollback/fallback procedures. * Collaborate with Solution Leads/Architects on scalability, CI/CD pipeline integration, and CoE standards adoption; mentor junior developers on both RPA and agentic development practices. * Stay current on platform releases (UiPath, Agent Core, Microsoft Power Platform/Copilot, GitHub Copilot) and recommend adoption of new capabilities.
Read from careers.principal.com, last seen 4d ago.