
location_onBig Bully Turf, 350, Front Street, Banker's Hill, San Diego, San Diego County, California, 92101, United States
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.
The AI Engineer is an early-career role for engineers who are passionate about building with modern AI and ready to grow into the next generation of AI specialists. You will work alongside senior and principal engineers to build, ship, and improve production AI features, learning the craft of applied AI engineering on real systems that serve real users.
This role is hands-on from day one. You will write code, prototype ideas, evaluate models, integrate APIs, and contribute to the platform that powers AI across the organization. You will be supported with strong mentorship, clear scope, and the room to grow into more senior responsibilities over time.
This role is located at our HQ in San Diego, CA.
Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact us directly.
The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics.
We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility.
We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws.
Work model: On-site
Big Bully Turf, 350, Front Street, Banker's Hill, San Diego, San Diego County, California, 92101, United States
San Diego, California
Experience with AI frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or DSPy. Exposure to vector databases (Pinecone, Weaviate, pgvector, Vertex AI Vector Search) and embedding models. Familiarity with major cloud platforms (GCP, Azure, AWS), particularly managed AI services. Comfort with Docker, basic CI/CD workflows, and modern engineering practices. A portfolio of personal projects, open source contributions, hackathon work, or coursework demonstrating curiosity and initiative in AI. Experience with web frameworks (FastAPI, Flask) or frontend basics (React, TypeScript). Coursework or self-directed learning in machine learning, deep learning, NLP, or information retrieval. Familiarity with JavaScript or TypeScript. Experience with notebook environments (Jupyter, Colab), evaluation tools (RAGAS, LangSmith, Weights and Biases), or basic frontend development.
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Skills: Python, LLM, Rag, Prompt Engineering, Vector Databases, Embeddings, Git, Rest Apis, Json, SQL.
Education: Bachelor's degree in CS, Data Science, ML, Engineering, or equivalent experience.