HC

Hccz Cx1

Software Engineer III - AI & Agentic Automation

Bengaluru · Entry Level

Good timing - competition is buildingVerified listingPosted 13d ago

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What we know about this role

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HIGH

Hccz Cx1 is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Window passed - posted 13d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Sep 15, 2026

Skills required

39 listed

Human-In-The-LoopLarge Language Models (LLMs)Model Context Protocol (MCP)CI/CDAgentic AIFeasibility StudiesDocument ProcessingGitHub Copilot+31 more

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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
- JavaScript
- SQL
- REST APIs
Hands-on experience with:
- UiPath and/or Microsoft Power Automate
- Excel Macros and VBA
- Outlook Automation
- Database integration
Strong understanding of:
- OCR technologies
- API integration and mapping
- Prompt engineering
- Tool calling and structured outputs
- AI memory concepts and agent orchestration
Experience with:
- Git, Bitbucket, and DevOps practices
- CI/CD pipelines
- OAuth authentication
- JSON/XML data formats
- 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
- LangGraph
- AutoGen
- Semantic Kernel
- CrewAI
Experience with vector databases and AI search platforms such as:
- Pinecone
- Azure AI Search
- Weaviate
Experience building multi-agent or Agentic AI systems in enterprise environments.

Education

Bachelor's 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.

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Software Engineer III - AI & Agentic Automation

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Skills required

Job description

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