About the role

10x Genomics helps researchers answer biology’s hardest and most elusive questions with single cell and spatial biology technology. We're harnessing the power of AI and large language models (LLMs) to revolutionize how researchers interact with their data and drive discovery.

As an AI/LLM Engineer, you’ll be at the forefront of developing intelligent, user-centric solutions that assist scientists and internal teams throughout their research journey—from experimental design and data processing to troubleshooting and advanced analysis. Your work will directly impact how researchers around the world conduct and accelerate their genomic studies.

You'll collaborate with a cross-functional team of data scientists, computational biologists, software engineers, and domain experts to build robust, scalable tools that make complex biological workflows more intuitive and accessible.

Join us in shaping the future of research—where AI meets the frontiers of biology.

What you will be doing

• Design, build, test, and deploy scalable and efficient backend systems that power AI- and LLM-driven customer experiences and internal tools.
• Handle large-scale data processing workflows—including data management, normalization, transformation, and vectorization.
• Build and optimize infrastructure for deploying and monitoring cloud services, ensuring high uptime, low latency, and robust system performance.
• Collaborate cross-functionally with computational biologists, software engineers, scientists, product managers, and designers to shape AI features that directly address customer pain points in the research journey.
• Explore and apply modern NLP techniques, including retrieval-augmented generation (RAG), transformers, and fine-tuning/customization of foundation models.

Minimum Requirements

• Bachelor's degree in computer science, engineering, math, or scientific discipline and 6 years of software development OR 8 years of professional experience building software.
• Professional experience with AI, natural language processing (NLP), RAG, Embeddings, Vector stores, and GPT models.
• Four years experience with backend systems (REST APIs, backend services, modern relational database systems).
• Experience with a cloud environment and services (e.g. AWS, Kubernetes, Docker, Grafana).

Preferred Skills and Experience

• Proficiency with Go and React, or strong experience with comparable languages and frameworks.
• Experience with large-scale data processing, including wrangling, normalization, and transformation.
• Proficient working across the stack—from backend services and data infrastructure to application logic and APIs.
• A background in biology or bioinformatics is not required, but an interest in scientific research and a desire to support the scientific community are highly valued.