Senior Software Engineer (Automation & AI Agentic Engineer)

Additional Information

Our Engineering Culture:

In our Agile/Lean DevOps environment, we’ve nurtured a culture of innovation and experimentation across our development teams. As a customer-focused organization, we collaborate closely with our end users and product owners to understand and rapidly respond to emerging business needs. Collaboration is ingrained into every aspect of our work – from the products we develop to the world-class service we offer. We are motivated by the belief that diversity of thought, background, and perspective is crucial to crafting the finest products and experiences for our customers. Come join us and become a part of a highly ambitious team dedicated to delivering impeccable solutions!

Responsibilities

What You’ll 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.

Qualifications

Who You are:

Experience: 4 to 7 total automation experience (RPA + AI agentic), or equivalent demonstrated skill for internal candidates transitioning from a traditional RPA Developer/Sr. Developer role.

Education:

Bachelor’s(Engineering)/Master’s in computer science or a related field.

Must Have:

• 3+ years of hands-on RPA development experience with UiPath (workflow design, exception handling, reusable components, and orchestrator administration).
• Working experience with Microsoft Power Automate (cloud/desktop flows) and familiarity with the broader Power Platform (Power Apps, Dataverse, connectors).
• Hands-on exposure to Agent Core, UiPath Agentic Automation, or comparable agentic/AI-agent orchestration capability (goal-driven agents, agent-to-agent workflows, autonomous decisioning).
• Practical experience using GitHub Copilot (or similar AI coding assistant) in day-to-day development.
• Understanding of GenAI/LLM fundamentals: prompt engineering, tokens/context windows, RAG concepts, and where AI agents outperform (or underp…