Software Engineer III - AI And Agentic Automation

Pearson; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Pearson seeks a Software Engineer – AI & Agentic Automation to design, develop, and deploy enterprise-grade automation solutions. You will work with LLMs, agentic AI platforms, and automation tools to deliver scalable, secure automation across Pearson units.

You will build AI-powered assistants, conversational AI, and document processing solutions, integrating with enterprise systems and APIs, while following HITL controls and secure development practices.

Qualifications

• Bachelor's degree in CS/Engineering/IT or related field.
• Proven experience with Python, JavaScript, SQL and REST APIs.
• Hands-on experience with UiPath and/or Power Automate; familiarity with automation tools.
• Knowledge of cloud services (AWS) and Infrastructure as Code.
• Experience working in Agile/Scrum environments.

Responsibilities

• Design and implement enterprise-grade AI and automation solutions.
• Develop multi-agent workflows with HITL controls.
• Create Solution Design Documents from Process Definition Documents.
• Collaborate with analysts to understand processes and data standards.
• Develop AI-powered assistants and intelligent document processing solutions.
• Integrate automation with enterprise applications and APIs.
• Support CI/CD and DevOps practices across the lifecycle.

Skills

Python

JavaScript

SQL

REST APIs

OCR technologies

Prompt engineering

Tool calling

AI memory concepts

Agent orchestration

Git

CI/CD pipelines

OAuth authentication

JSON/XML data formats

Relational databases

Education

Bachelors Degree in Computer Science, Engineering, Information Technology

Tools

UiPath

Microsoft Power Automate

Excel Macros

VBA

Outlook Automation

Git

Bitbucket

Job description

Job Description:

Software Engineer – AI & Agentic Automation

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.

Key Responsibilities

Solution Design & Architecture

• 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).
• Collaborate with business analysts and stakeholders to understand business processes, data standards, guidelines, and automation requirements.

AI & Agentic Automation Development

• 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.
• Integrate automation solutions with enterprise applications, APIs, databases, and third-party platforms.
• Utilize AI-assisted development tools such as Claude, Cursor, and GitHub Copilot to improve development efficiency, testing, and code quality.

Integration & Platform Engineering

• Implement secure API integrations, including OAuth authentication and data exchange using JSON and XML.
• Configure and manage AWS environments to support Agentic AI platforms and application development.
• Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
• Work with relational databases such as SQL Server and PostgreSQL for data management and integration.

Testing, Monitoring & Continuous Improvement

• Develop evaluation frameworks, test strategies, and validation processes for AI and automation solutions.
• Monitor production AI systems for performance, reliability, quality, and compliance.
• Analyze incidents, identify root causes, and implement continuous improvements through prompt engineering, model optimization, and workflow enhancements.
• Support CI/CD implementation and DevOps best practices throughout the development lifecycle.

Required Skills & Experience

Technical Skills

• Strong experience in: Python
• Strong experience in: JavaScript
• Strong experience in: SQL
• Strong experience in: REST APIs
• Hands-on experience with: UiPath and/or Microsoft Power Automate
• Hands-on experience with: Excel Macros and VBA
• Hands-on experience with: Outlook Automation
• Hands-on experience with: Database integration
• Strong understanding of: OCR technologies
• Strong understanding of: API integration and mapping
• Strong understanding of: Prompt engineering
• Strong understanding of: Tool calling and structured outputs
• Strong understanding of: AI memory concepts and agent orchestration
• Experience with: Git, Bitbucket, and DevOps practices
• Experience with: CI/CD pipelines
• Experience with: OAuth authentication
• Experience with: JSON/XML data formats
• Experience with: Relational databases (SQL Server, PostgreSQL)

Cloud & Infrastructure

• Experience provisioning and managing AWS environments.
• Knowledge of Infrastructure as Code (Terraform, AWS CloudFormation, AWS CDK).
• Understanding of scalable, secure, and production-ready cloud architectures.

Nice-to-Have Skills

• Experience with Microsoft Copilot Studio.
• Knowledge of Model Context Protocol (MCP) and agent interoperability.
• Experience with AI frameworks such as: LangChain
• Experience with AI frameworks such as: LangGraph
• Experience with AI frameworks such as: AutoGen
• Experience with AI frameworks such as: Semantic Kernel
• Experience with AI frameworks such as: CrewAI
• Experience with vector databases and AI search platforms such as: Pinecone
• Experience with vector databases and AI search platforms such as: Azure AI Search
• Experience with vector databases and AI search platforms such as: Weaviate
• Experience building multi-agent or Agentic AI systems in enterprise environments.

Education

• Bachelors Degree in Computer Science, Engineering, Information Technology, or a related field.

Soft Skills

• Strong analytical and problem-solving capabilities.
• Excellent communication and technical documentation skills.
• Ability to collaborate effectively with business and technology stakeholders.
• Strong organizational and project management skills.
• Ability to thrive in Agile/Scrum and fast-paced delivery environments.
• Proactive mindset with a passion for innovation, AI, and automation.

Requirements: