Job description

Forward Deployed Engineer (FDE) Location: San Francisco, CA (On-site, Monday–Friday) Employment Type: Full-Time Compensation: 165,000–250,000 Equity: Competitive equity Visa Sponsorship: Open to visa transfers, including OPT and H-1B transfers. About the Opportunity 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. What You'll Do • 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. Required Qualifications • 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. Preferred Qualifications • 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

Requirements

Must-haves

Forward Deployed Engineer (FDE)
Location: San Francisco, CA (On-site, Monday–Friday)
Employment Type: Full-Time
Compensation: 165,000–250,000
Equity: Competitive equity
Visa Sponsorship: Open to visa transfers, including OPT and H-1B transfers.
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.
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.
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigopython

Platform: manatal
Effort: medium