Senior AI Engineer I
Billiontoone · Menlo Park, CA · 2026-06-24
About this role
<div class="content-intro"><h2><strong>A Rare Opportunity to Shape the Future of Genomics</strong></h2> <p>Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.</p> <p>Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.</p> <p>If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.</p></div><p>As BillionToOne scales rapidly, we are building a world-class Commercial Data &amp; Applied AI team. We are currently seeking a highly motivated <strong>Senior AI Engineer I</strong> to support the design and implementation of AI and automation solutions that optimize operations across our commercial, billing, and customer experience teams.</p> <p>This is a full-time senior role for engineers excited about applying LLMs, AI, and automation to real-world business challenges in healthcare. You will have the opportunity to join a new team and help shape the vision and culture. You will collaborate cross-functionally with stakeholders in Sales, Marketing, Revenue Operations, Billing, Customer Experience, and IT to identify high-impact opportunities for AI-driven solutions that improve scalability and efficiency.</p> <p>We are builders at heart. We value a strong sense of ownership, intellectual curiosity, and a bias toward action.</p> <p>This is a hybrid role requiring 2-3 days per week on-site in Menlo Park with the team.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Build and deploy LLM-powered applications (retrieval systems, AI agents, workflow automation, vector storage) that integrate with internal systems and data sources</li> <li>Partner with business stakeholders to identify automation opportunities, scope requirements, and define success metrics</li> <li>Build lightweight data pipelines and analytics to support AI applications and measure their impact</li> <li>Own projects end-to-end: from prototyping and iteration through production deployment and monitoring</li> <li>Establish best practices for prompt engineering, evaluation, and responsible AI use as the team scales</li> <li>Develop and lead internal training sessions on LLM fundamentals, prompt engineering, and AI-assisted development tools</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li>5+ years of experience in software engineering, data science, or ML engineering</li> <li>Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, etc.)</li> <li>Strong Python proficiency and comfort with SQL and relational databases</li> <li>Experience deploying and maintaining production systems</li> <li>Familiarity with AWS</li> <li>Excellent communication skills and ability to translate business problems into technical solutions</li> <li>Self-directed and comfortable with ambiguity in a 0-to-1 environment</li> </ul> <p><strong>Nice-To-Haves:</strong></p> <ul> <li>Previous entrepreneurial experience</li> <li>Experience with retrieval architectures, vector databases, and embedding models</li> <li>Familiarity with agent frameworks or workflow orchestration tools</li> <li>Experience with traditional ML frameworks (scikit-learn, PyTorch, TensorFlow)</li> <li>Prior work in healthcare, biotech, or other regulated industries</li> </ul> <p><strong>Benefits And Perks:</strong></p> <ul> <li>Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients</li> <li>Open, transparent culture that includes weekly Town Hall meetings</li> <li>The ability to indirectly or directly change the lives of hundreds of thousands patients</li> <li>Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%</li> <li>Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)</li> <li>Supplemental fertility benefits coverage&nbsp;</li> <li>Retirement savings program including a 4% Company match</li> <li>Increase paid time off with increased tenure</li> <li>Latest and greatest hardware (laptop, lab equipment, facilities)</li> <li>Daily on-site lunches provided from top eateries</li> <li>A variety of perks on campus (state of the art gym, restaurant)</li> <li>Free on-site EV charging (compatible with all EVs, including Tesla)</li> </ul> <p>At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3)…
Skills asked for
- llm
- data science
- python
- aws
- scikit-learn
- pytorch
- tensorflow
- go
Similar jobs
- Senior Software Engineer, Windows/Desktop Applications - Menlo Park, CA, USASpeechify · Menlo Park
- Senior Applications Engineer, Corporate SystemsRobinhood · Menlo Park
- Senior Android Engineer, Trading ProductsRobinhood · Menlo Park
- Senior Android Engineer, iRADRobinhood · Menlo Park
- Senior GenAI Backend Software Engineer (773)Protegrity · Menlo Park
- Senior Manufacturing Design EngineerMaticrobots · Menlo Park
- Senior Electrical Design EngineerMaticrobots · Menlo Park
- Senior Software Engineer, PrenatalBilliontoone · Menlo Park
Your next role is already in here.
Search live openings from thousands of employers, save the ones worth a second look, and let JobBob keep watch for the rest.