AI Engineer - Software Development Tools

AI Engineer - Software Development Tools

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Position Overview

We are seeking a Junior-to-mid-level AI Engineer to design, develop, and deploy AI-powered solutions that improve the productivity, quality, and efficiency of software development across the company.

This role will work closely with software engineers, architects, DevOps teams, and engineering leadership to identify high-value developer workflows and transform them using Generative AI, LLMs, agents, RAG, and intelligent automation.

The engineer will contribute across the full lifecycle-from identifying opportunities and prototyping AI solutions to integrating them into existing software development tools and workflows.

The ideal candidate combines strong software engineering fundamentals with practical experience building AI/LLM applications and a passion for improving the developer experience.

Key Responsibilities


* Develop and integrate AI/GenAI capabilities into software development tools and workflows, including coding, code understanding, code review, testing, debugging, build, CI/CD, and release processes.


* Build applications using LLMs, RAG, AI agents, tool calling, MCP, embeddings, and vector databases.


* Develop AI-powered assistants and automation that help engineers understand code, diagnose failures, generate tests, analyze defects, and resolve development issues.


* Integrate AI capabilities with existing engineering systems, APIs, source-code repositories, CI/CD pipelines, issue tracking, build systems, and developer environments.


* Design and implement agentic workflows that can reason over engineering data and take appropriate actions through approved tools and APIs.


* Evaluate different models, prompts, agents, and architectures for accuracy, latency, cost, reliability, and developer value.


* Develop mechanisms for AI quality evaluation, including automated evaluation, human feedback, regression testing, and monitoring of AI-generated results.


* Work with software development teams to understand pain points and translate them into practical AI-powered solutions.


* Build scalable, secure, ...