AI Engineer - Software Development Tools

Hewlett Packard Enterprise; San Juan (PR); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Junior-to-mid-level AI Engineer to design, develop, and deploy AI-powered solutions that improve software development productivity and quality. You will collaborate with software engineers, architects, DevOps, and leadership to transform workflows using Generative AI, LLMs, agents, and RAG.

The role combines hands-on coding with system integration across tools, APIs, and CI/CD pipelines, aiming to deliver practical, scalable AI improvements for internal

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field.
• 2-6 years of software engineering or AI/ML engineering experience, with hands-on production software.
• Practical experience developing applications using Generative AI and Large Language Models (LLMs).
• Strong programming skills in Python and/or JavaScript/TypeScript with software engineering best practices.
• Experience with LLM APIs, prompt engineering, embeddings, RAG, or agent-based apps.
• Experience developing and consuming REST APIs and microservices.

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, embeddings, and vector databases.
• Develop AI-powered assistants and automation that help engineers understand code, diagnose failures, generate tests, analyze defects, and resolve 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 actions through tools and APIs.
• Evaluate models, prompts, agents, and architectures for accuracy, latency, cost, reliability, and developer value.
• Develop AI quality evaluation mechanisms, including automated evaluation, human feedback, regression testing, and monitoring of AI results.
• Collaborate with software teams to translate pain points into practical AI solutions.
• Build scalable, secure AI services for large engineering orgs.
• Instrument AI apps to measure adoption, productivity, and business value.
• Participate in design reviews, code reviews, and architecture discussions; stay current with AI advances.

Skills

Python

JavaScript/TypeScript

LLMs

REST APIs

CI/CD

Kubernetes

Cloud platforms

Education

Bachelor's or Master's in CS/Software Eng/AI

Job description

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, and maintainable AI services suitable for use by large engineering organizations.
• Instrument AI applications to measure adoption, productivity impact, quality improvements, and business value .
• Participate in design reviews, code reviews, architecture discussions, and engineering best-practice initiatives.
• Stay current with rapidly evolving AI technologies and identify opportunities to incorporate relevant advances into internal developer tooling.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or a related technical field.
• 2-6 years of software engineering or AI/ML engineering experience , with hands-on experience developing production-quality software.
• Practical experience developing applications using Generative AI and Large Language Models (LLMs) .
• Strong programming skills in Python and/or JavaScript/TypeScript , with good understanding of software engineering principles.
• Experience working with LLM APIs, prompt engineering, structured outputs, embeddings, RAG, or agent-based applications.
• Experience developing and consuming REST APIs and microservices .
• Strong understanding of software development lifecycle, source control, CI/CD, testing, debugging, and engineering workflows.
• Familiarity with cloud platforms, containers, Kubernetes, or modern application deployment practices.
• Ability to work effectively with software developers and translate engineering problems into practical technical solutions.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience building AI agents and multi-step AI workflows .
• Experience with MCP, tool/function calling, agent frameworks, or AI orchestration frameworks .
• Experience with vector databases, semantic search, knowledge graphs, or RAG architectures.
• Experience applying AI to code generation, code review, unit-test generation, code coverage, debugging, build failure analysis, or CI/CD automation .
• Familiarity with models from providers such as OpenAI, Anthropic, Google, Meta, or other lead