Senior Software Engineer, AI Solutions - Remote

Overview

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.

In Short

• 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.

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).

Benefits

• Competitive base pay ranging from $164,500 to $215,300 USD.
• Eligibility for equity grants.
• Comprehensive health and retirement benefit programs.
• Annual bonus program or sales incentive program.