RPA Developer with LLMs

  • Posted 1 day ago | Updated 1 day ago

Overview

Remote
Depends on Experience
Full Time

Skills

Agentic AI
UiPath Studio
RPA
Microsoft Copilot
custom GPT integrations
GPT-4
Claude
Gemini
Copilot

Job Details

RPA Developer

Remote

Long term

Job Description:

  • Design and develop scalable RPA solutions using UiPath Studio, Orchestrator, and related tools.
  • Integrate Agentic AI frameworks to enable autonomous task execution, decision-making, and self-improvement in bots.
  • Embed Copilot-style AI assistants (e.g., Microsoft Copilot, custom GPT integrations) into business workflows for enhanced user productivity.
  • Analyze business processes and identify opportunities for automation with AI augmentation.
  • Collaborate with data scientists, AI engineers, and business stakeholders to build end-to-end intelligent automation.
  • Implement conversational interfaces (chatbots/voice assistants) where needed using AI models.
  • Ensure robust governance, compliance, and security across all automation implementations.
  • Provide technical documentation, training, and support to users and administrators.
  • Monitor bot performance and proactively optimize for reliability and business value.

Required Skills:

  • 3 7 years of hands-on development experience with UiPath (Studio, Orchestrator, REFramework).
  • Strong understanding of RPA lifecycle, design patterns, and enterprise-grade deployments.
  • Experience integrating Large Language Models (LLMs) like GPT-4/Claude/Gemini into automation workflows.
  • Familiarity with Agentic AI frameworks, toolchains (e.g., LangChain, Semantic Kernel, CrewAI, AutoGen), or similar.
  • Working knowledge of Copilot AI (e.g., Microsoft 365 Copilot, Power Platform Copilot) and how to extend or integrate them.
  • Programming/Scripting skills: VB.NET, C#, Python, or equivalent.
  • Experience with REST APIs, Webhooks, and system integration best practices.
  • Exposure to Power Automate, Automation Anywhere, or other tools is a plus.
  • Understanding of data privacy, security, and responsible AI principles.
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