AI Engineer – Software Development Tools

Hybrid role in San Juan, PR focused on building AI-powered capabilities that enhance software development workflows using Generative AI.

Responsibilities

• Develop and integrate AI and Generative AI features into software development tools across coding, code understanding, code review, testing, debugging, build, CI/CD, and release workflows.
• Build LLM-based applications using RAG, AI agents, tool calling, MCP, embeddings, and vector databases.
• Create AI assistants and automation to support engineers with code comprehension, failure diagnosis, test generation, defect analysis, and issue resolution.
• Integrate AI capabilities with existing engineering systems, including 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 approved tools and APIs.
• Evaluate models, prompts, agents, and architectures for accuracy, latency, cost, reliability, and developer value.
• Build AI quality evaluation mechanisms using automated evaluation, human feedback, regression testing, and monitoring of AI-generated outputs.
• Partner with software development teams to identify pain points and translate them into practical AI-powered solutions.
• Develop scalable, secure, maintainable AI services for enterprise engineering organizations.
• Instrument AI applications to measure adoption, productivity impact, quality improvements, and business value.
• Contribute to design reviews, code reviews, architecture discussions, and engineering best-practice initiatives.
• Stay current with evolving AI technologies and identify opportunities to apply relevant advancements to internal developer tooling.

Requirements

• 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, including hands-on work building production-quality software.
• Practical experience building applications with Generative AI and Large Language Models (LLMs).
• Strong programming skills in Python and/or JavaScript/TypeScript with solid software engineering fundamentals.
• Experience with LLM APIs, prompt engineering, structured outputs, embeddings, RAG, or agent-based applications.
• Experience developing and consuming REST APIs and microservices.
• Strong understanding of the software development lifecycle, including source control, CI/CD, testing, debugging, and engineering workflows.
• Familiarity with cloud platforms, containers, Kubernetes, or modern deployment practices.
• Ability to collaborate with software developers and translate engineering problems into technical solutions.
• Strong analytical, problem-solving, and communication skills.

Technologies

• Generative AI, LLMs, agents, RAG, intelligent automation
• LLM APIs, prompt engineering, structured outputs, tool calling
• MCP, embeddings, embeddings-based systems, vector databases
• REST APIs, microservices, source-code repositories, issue tracking, build systems
• CI/CD, Python, JavaScript/TypeScript
• Cloud platforms, containers, Kubernetes

What You Will Build

• AI-powered code understanding and developer assistants
• Intelligent code review and code-quality analysis
• Automated unit-test and test-case generation
• AI-based build and CI/CD failure diagnosis
• Intelligent debugging and root-cause analysis
• AI-powered software defect and issue analysis
• Developer-facing RAG/knowledge assistants
• Agentic automation for repetitive software engineering tasks
• AI-driven engineering insights and productivity tools
• Intelligent automation across the software development lifecycle

Impact

• Apply AI at scale to the daily workflows of software engineers.
• Reduce repetitive engineering work, accelerate development and debugging, and improve software quality.
• Enable developers to spend more time on higher-value engineering activities.

Benefits

• Relocation support provided to eligible candidates
• Health & Wellbeing benefits

Accessibility

• HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities.
• Accommodation request process available for candidates needing assistance during the application or interview process.

Additional Information

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion
• Let’s Stay Connected