Forward Deployed Engineer at Galileo

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

210000.0

Posted On

14 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Problem Solving, Product Thinking, Python, OpenAI Agents SDK, LangGraph, CrewAI, LLM APIs, RAG Architectures, Rasa, DsPy, Customer Interaction, Communication, Technical Solutions, Integrations, Workflows

Industry

Software Development

Description

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. 3+ 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: 🏥 Medical, Dental and Vision Insurance 🌴 Unlimited PTO 👶 Parental Leave (birthing & non-birthing) - 100% pay for 8 weeks 💰 401(k) Retirement Savings Plan 📈 Pre-IPO Stock Options 🚌 Commuter Benefits (pre-tax + company sponsored) 🧘‍♂️ Mental & Physical Wellness Stipend 🍱 Catered Meals on in-office days 🏢 HQ in Burlingame + hub in NYC + 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. 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 - $210,000 USD #LI-JF1

Responsibilities

Collaborate with customers to design scalable AI-powered solutions and build custom features and integrations. Ensure rapid progress toward production-grade outcomes by working closely with customer engineering and PM teams.