This is an hybrid role based in Burlingame, CA with the team working together in person 2 days per week . About Galileo Galileo is the leading platform for Gen AI evaluation and observability, with a mission to democratize building safe, reliable and robust applications in the new era of AI powered software development. Our foundation is built on pioneering the early technology behind the world's most ubiquitous AI applications including Apple's Siri and Google Speech. We firmly believe that AI developers require meticulously crafted, research-driven tools to create trustworthy and high-quality generative AI applications that will revolutionize our work and lifestyle.

Galileo addresses the complexities inherent in implementing, evaluating, and monitoring GenAI applications, optimizing the development process for both individual developers and teams by offering a comprehensive platform that spans the full AI development lifecycle. Galileo bridges critical gaps, significantly enhancing developers' ability to refine and deploy reliable and precise GenAI applications.

Since its inception, Galileo has rapidly gained traction, serving Fortune 100 banks, Fortune 50 telecom companies, as well as AI teams at prominent organizations such as Reddit and Headspace Health, among dozens of others.

Galileo has AI research at its core, with the founders coming from Google and Uber where they solved challenging AI/ML problems in the Speech, Evaluation and ML Infra domains. It is now a Series B business backed by tier 1 investors including Battery Ventures, Scale Venture Partners, and Databricks Ventures, with $68M in total funding. We are headquartered in San Francisco with locations such as New York and Bangalore, India forming our areas of future growth.

About The Role As an early engineer at Galileo, you will play a foundational role in designing, building, and scaling our products and team. We’re looking for an exceptional Senior Software Engineer, interested in solving complex problems at the intersection of Data and ML and passionate about the opportunities in Observability and Reliability for GenAI.

What you'll be doing

• Technical Design and Architecture - you will champion for the right scalable, reliable architecture and obtain buy-in from all the stakeholders
• Planning and Execution - you will work with your team to help plan the roadmap and execute it
• PR and Design Reviews - you will uphold the engineering excellence/quality bar by reviewing your peer’s PRs
• Collaboration - you will collaborate closely with Product Managers, designers and other TLs to ensure we are building the right strategy and leveraging each other’s work.
• Advance Engineering - you will participate in design reviews, on-call and support, participate in and present during Tech Talks and learning sessions & help interview other engineering candidates

What We're Looking For

Bonus Points

• Experience working with Docker and Kubernetes.
• Experience building applications on at least one of AWS, Google Cloud, or Microsoft Azure.
• Experience building customer facing products with ML frameworks (like PyTorch, Tensorflow, Keras, etc)
• Experience building agentic applications (like LLMs, rags, agents, etc.) with common frameworks (like OpenAI, langChain, crewAI, etc.)

Why Galileo- Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally

Galileo is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor.

Galileo is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter.

Galileo is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for commission, equity, and company sponsored benefits/perks.

• The annual pay range for this role is $180,000 - $225,000 USD.