> Markdown version of [/jobs/ext/3958558-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/3958558-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:** Morgan, Inc. - **Location:** San Francisco, CA, United States - **Salary:** $165,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Structures, Python (Programming Language), Rapid Prototyping Process, Software Engineering, Systems Integration, Large Language Models, Prompt Engineering, Agentic-AI, Build Management, Production Code - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-san-francisco-ca--98f3e5df-5a41-4dad-af60-ca116fd312da ## About the Role Artificial Intelligence (AI), Customer Relations, Insurance, Software Engineering, Communication Skills, Startup, Customer Relationship Management (CRM), Artificial Intelligence (AI) Agents, Rapid Prototyping, Customer Support/Service, We are seeking a highly agentic and client-facing engineer to help deploy multimodal AI systems into production for the insurance industry. This opportunity combines hands-on software engineering, applied AI, and direct customer engagement. You'll work closely with clients to understand their challenges, build and deploy technical solutions, and own projects end-to-end. The ideal candidate has a strong technical foundation, excellent communication skills, and a track record of building and shipping production software, preferably at an early-stage, VC-backed startup., * 1-5 years of experience in a technical role using Python, ideally with client-facing responsibilities. * Experience building and shipping production code in at least one of the following environments: + A VC-backed startup. + As a founder or founding engineer. + A fast-paced public technology company with a strong engineering environment. * A STEM undergraduate degree from a reputable university in the US, Canada, or Europe. Candidates with undergraduate degrees outside these regions must have qualifying experience at an exceptional, well-funded VC-backed startup or top-tier technology company. * Strong software engineering fundamentals, including data structures, algorithms, and system design. * Proficiency in Python. * Familiarity with large language models (LLMs), prompt engineering, and agentic AI concepts. * Excellent communication skills, including the ability to explain technical concepts clearly and build trusted client relationships. * Demonstrated ability to build and deploy technical solutions and take ownership of projects end-to-end. * Willingness to work on-site five days per week in San Francisco., * Experience in an early-stage or high-growth, VC-backed startup. * Previous experience in a client-facing engineering, solutions architecture, or other technical, customer-centric role. * Graduation from a top-20 university for your academic program. * Experience working directly with customers to sc ## Description * Individually deploy multimodal, agentic AI systems into production with major business impact. Own client deployments end-to-end, from scoping through go-live, acting as the primary point of contact for senior client stakeholders. * Build and manage client relationships, understand challenges, align priorities, and become a trusted partner executives rely on to scale their AI adoption. * Design, build, and evolve AI agents that deliver optimal claims outcomes, including prompt engineering, model integration, and rapid prototyping using AI-assisted coding tools. * Work with applied AI daily, scoping and developing new features that help customers scale while consistently improving claims results. * Integrate products into client environments, working hands-on with their technical teams on APIs and systems. * Coordinate with the core platform team to ensure smooth delivery and improve the product through actionable customer insights. * Capture and share best practices in internal playbooks to help scale Forward Deployed Engineering.