> Markdown version of [/jobs/ext/3973684-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/3973684-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Recruiting from Scratch - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $200,000.0 - $255,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Software Engineering, Systems Integration, Large Language Models, Prompt Engineering, Machine Learning Operations - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-san-francisco-ca--838fb103-ce04-4589-b779-46e5ed035f83 ## About the Role Software Development, Funding, Financial Services, Artificial Intelligence (AI), Startup, Leading Edge Technology, Customer Experience, Bridge Building, Product Engineering, Metrics, * 2-8 years of experience in a customer-facing engineering role, such as Forward Deployed Engineer or Solutions Engineer. * Strong proficiency in Python, with a solid understanding of LLMs, prompt engineering, and ML pipelines. * Proven ability to work directly with enterprise stakeholders, demonstrating ownership of customer success metrics. * Experience deploying AI or data products in production environments, showcasing a blend of technical depth and business acumen. Preferred * Familiarity with APIs and system integrations, enhancing the ability to build seamless solutions. * Experience in high-growth startups or enterprise SaaS environments, contributing to a fast-paced, innovative culture. ## Description * Engage directly with enterprise customers to deploy AI and LLM products, ensuring successful integration and adoption. * Collaborate across product, engineering, and business teams to bridge gaps and enhance customer experience. * Own customer success metrics, driving outcomes such as adoption and retention through effective solutions. * Rapidly prototype and iterate on customer-specific applications, leveraging Python and AI technologies. * Translate complex business requirements into technical solutions, communicating effectively with both technical and non-technical stakeholders.