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.

Role Description As a Forward Deployed Engineer (FDE), you will work directly with our largest customers to design and deliver tailored technical solutions that accelerate their success with generative AI. This is a customer-facing, highly technical role that blends backend engineering with problem-solving and product thinking. You’ll work closely with our Head of Field Engineering, AI engineers, and customer PMs/engineering teams to map ideal workflows, build bespoke integrations, and ensure rapid progress toward production-grade outcomes.

Main Responsibilities

• Collaborate with customers to understand their business challenges and design scalable AI-powered solutions
• Build custom features, integrations, and workflows using cutting-edge AI frameworks (e.g. OpenAI Agents SDK, LangGraph, CrewAI)
• Partner with customer engineering and PM teams to deploy solutions and ensure sustained success
• Continuously track, communicate, and align workstreams with internal and customer stakeholders
• Travel on-site to work closely with strategic customers and build deep empathy for their needs

Minimum Qualifications

• Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, Information Technology) or equivalent work experience.
• 5+ years as a backend or full-stack SWE, ideally with experience at an AI-first or developer-focused startup
• Proficient in Python and familiar with deploying LLM-based workflows and evaluations
• Hands-on experience with OpenAI Agents SDK, LangGraph, CrewAI, MCP, or similar
• Familiarity with LLM APIs, RAG architectures, and tools like Rasa, DsPy, or evaluation frameworks
• Experience working directly with customers (external or internal), gathering requirements, and delivering impact
• Strong communication and problem-solving skills
• Willing to travel for onsite work with customers as needed (up to 20%)

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

• We obsess over our team’s culture driven by inclusivity, empathy and curiosity

• We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer:

• 🌴 Unlimited PTO

• 👶 Parental Leave (birthing & non-birthing) – 100% pay for 8 weeks

• 📈 Pre-IPO Stock Options

• 🧘 Mental & Physical Wellness Stipend

• 🍱 Catered Meals on in-office days

• 🏢 HQ in Burlingame + hub in Brooklyn + hub in Bangalore

• 🤝 Build the company alongside the Founders

• Benefits/perks may vary by state, country and employment type - please reach out to your recruiter for more information.

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.