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Software Engineer II - AI & Agentic Automation
Pearson
Actively HiringFull-time
Location
TN, IN
Experience
2-4 years
Role
Software Engineer II - AI & Agentic Automation
Salary
Competitive
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Job Description
Role Overview
The Software Engineer – AI & Agentic Automation is responsible for designing, developing, integrating, and deploying enterprise-grade Intelligent Automation and Agentic AI solutions. This role focuses on leveraging Agentic AI platforms, Large Language Models (LLMs), automation technologies, and enterprise systems to deliver scalable, secure, and high-impact automation solutions across Pearson business units.
Responsibilities
- Conduct feasibility studies and provide technical recommendations during the solution design phase.
- Design and implement multi-agent workflows for autonomous task execution with Human-in-the-Loop (HITL) controls.
- Create Solution Design Documents (SDDs) based on Process Definition Documents (PDDs).
- Develop enterprise-grade Agentic AI solutions using LLMs, CrewAI, UiPath Agent Builder, Python, and REST APIs.
- Build AI-powered assistants, conversational AI applications, and intelligent document processing solutions.
- Design, develop, and deploy intelligent automation solutions using Microsoft Power Automate and UiPath.
- Implement secure API integrations, including OAuth authentication and data exchange using JSON and XML.
- Configure and manage AWS environments and implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
- Develop evaluation frameworks, test strategies, and validation processes for AI and automation solutions.
Requirements
- Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related field.
- Strong experience in Python, JavaScript, SQL, and REST APIs.
- Hands-on experience with UiPath and/or Microsoft Power Automate.
- Experience with Git, Bitbucket, and DevOps practices.
- Knowledge of AWS provisioning and Infrastructure as Code.
Skills
- Python
- UiPath
- AWS
- LLMs
- REST APIs
Nice to Have
- Experience with Microsoft Copilot Studio.
- Knowledge of Model Context Protocol (MCP) and agent interoperability.
- Experience with AI frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI.
- Experience with vector databases such as Pinecone, Azure AI Search, or Weaviate.
Required Skills
PythonUiPathAWSLLMsREST APIs
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