AI Engineer

What if the work you did every day could impact the lives of people you know Or all of humanity

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Build, Deploy, Improve, and Scale AI Solutions That Power the Future of Work

Join Illumina Digital Services (IDS) and help build AI-powered applications, platforms, and experiences that enable productivity, automation, insights, and decision-making across the enterprise.

Working alongside experienced engineers, architects, product teams, and AI specialists, you will gain hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI platforms, and modern engineering practices while building a strong foundation for a career in AI Engineering.

Work Environment

- This role follows Illuminas hybrid work model and requires employees to work from the office a minimum of three days per week.

- Collaborate with engineers, product teams, and business stakeholders on enterprise-scale AI solutions.

- Learn in an environment that emphasizes mentorship, innovation, and continuous development.

What Youll Do

• Build, test, deploy, and support AI-powered applications, workflows, and services.
• Develop and improve prompt workflows, retrieval pipelines, RAG solutions, and AI application components.
• Integrate AI models, APIs, data sources, and enterprise systems to solve business problems.
• Evaluate model performance, identify improvement opportunities, and enhance solution quality and user experience.
• Monitor AI applications, troubleshoot issues, and support reliable production operations.
• Apply engineering best practices for testing, security, version control, documentation, and operational excellence.
• Collaborate with product, engineering, and business teams to deliver practical AI solutions.

What Were Looking For

We recognize that candidates may not have experience with every technology listed. We value curiosity, learning agility, problem-solving ability, and practical application demonstrated through academic projects, internships, hackathons, open-source contributions, research, or independent learning.

Required Qualifications

• Bachelors degree in computer science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related discipline.
• Foundational programming skills using Python and familiarity with software development fundamentals.
• Understanding of APIs, databases, cloud concepts, and modern application development practices.
• Exposure to Large Language Models (LLMs) through coursework, projects, internships, hackathons, research, or independent learning.
• Familiarity with concepts such as prompt engineering, embeddings, retrieval systems, or AI agents.
• Strong analytical, communication, collaboration, and problem-solving skills.
• Demonstrated ownership, adaptability, integrity, and commitment to continuous learning.

Preferred Exposure

Exposure through coursework, projects, internships, certifications, hackathons, research, or personal learning to one or more of the following is a plus:

• LLM platforms, AI frameworks, RAG solutions, vector databases, embeddings, or AI evaluation tools.
• Cloud platforms, modern software engineering practices, containers, CI/CD, or API development.
• AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies.

What Success Looks Like

• Learn Quickly: Develop practical capability in AI application development, LLMs, RAG, cloud platforms, and modern engineering practices.
• Deliver Reliably: Build, deploy, and support secure, scalable, tested, and well-documented AI solutions.
• Take Ownership: Communicate proactively, seek feedback, follow through on commitments, and improve continuously.
• Collaborate Effectively: Contribute positively within Agile and cross-functional teams.
• Maintain Quality and Trust: Treat reliability, security, privacy, responsible AI, and user experience as essential.

Join Us

We encourage applicants to apply even if they do not meet every qualification. We value curiosity, learning agility, problem-solving ability, and a passion for technology, AI, and continuous improvement.

If you are excited about building a career in AI Engineering and helping create AI-powered solutions that deliver meaningful impact, we would like to hear from you.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.