{"schemaVersion":"jobsearcher.job.v1","id":"1e2f6d41a30c073feeeb457d","url":"https://jobsearcher.com/jobs/1e2f6d41a30c073feeeb457d","canonicalUrl":"https://jobsearcher.com/jobs/1e2f6d41a30c073feeeb457d","title":"Forward Deployed Engineer","description":"Forward Deployed Engineer (FDE)Applied AI for insurance claimsSan Francisco, CA · On-site · Full-time$150K–$230K base + competitive equityThe companyThis is an early-stage applied AI company rebuilding claims processing in the $280B insurance industry.The product helps the largest insurers deploy multi-modal, agentic AI systems that improve claims outcomes and loss ratios.In less than a year, the company has reached multi-seven-figure ARR and roughly 50% month-over-month growth.It raised a 13x oversubscribed $3.8M seed round from Founders Fund and Emergence Capital, led by a partner who was early at OpenAI and Scale AI.The team is a concentrated group of engineers from DRW, Optiver, AWS, and Palantir; AI researchers from Oxford and Cambridge labs with publications at ICML, ICCV, and NeurIPS; and ICPC and Olympiad winners.Today the team is still small, so every strong deployment changes both the customer experience and the product roadmap.The roleThis is a Forward Deployed Engineer role for someone who wants direct ownership of customer outcomes and the code that ships them.You will own deployments end to end, from scoping through go-live and the iteration that follows.You will work directly with senior client stakeholders and their technical teams, and you will stay responsible for the system after launch.This role sits at the intersection of applied AI, enterprise integration, and customer-facing delivery. The output is not a one-off prototype; it is a deployment that has to work inside a real insurer’s operating model.The technical problemClaims workflows are full of exceptions, human review, changing rules, and unstructured inputs.The hard part is not making a demo work once. It is turning multi-modal, agentic AI into a system that performs consistently inside real insurer environments, where accuracy, latency, and operational fit all matter.That means debugging integrations, shaping prompts and model behavior, measuring outcomes, and feeding what you learn back into the platform.What you'll ownCustomer deployments end to end: scope the problem, define the integration path, implement the solution, and drive it through go-live.Senior stakeholder management: work directly with claims, operations, and technical leaders at customer organizations; keep priorities aligned and unblock decisions quickly.Applied AI development: build and evolve agents, prompts, model calls, and evaluation loops for claims use cases.Hands-on integration work: connect the product to customer APIs and internal systems, and debug issues with customer technical teams.Rapid prototyping: use Python and AI-assisted coding tools to get to working code quickly, then harden the path that matters.Feedback into the core platform: translate deployment patterns into reusable product improvements with the platform team.Playbooks: capture repeatable deployment patterns so future deployments do not start from zero.Who this is forYou are likely a fit if you have:Owned technical delivery in a client-facing role and can write production code, not just manage implementation.Worked in ambiguous enterprise environments where requirements, stakeholders, and systems all change mid-flight.Strong judgment around when to prototype, when to simplify, and when to put guardrails in place.Experience with APIs, system integration, and production debugging in customer environments.Comfort working directly with executives, operators, and engineers without relying on a heavy process layer.Interest in applied AI systems that have to work under real operational constraints.The ability to explain tradeoffs clearly and make decisions that hold up after launch.Experience at an early-stage, VC-backed startup is a plus, but the real requirement is senior-level ownership.Tech stackPrimary language: PythonThe stack is Python-heavy, and the role expects you to move from prototype code to production-quality systems without hand-holding.Why nowThe company has moved past the earliest proof point and now needs repeatable deployment capacity.Each new customer exposes new edge cases in claims workflows, integration surfaces, and model behavior. The FDE role is how those edge cases get converted into product leverage instead of one-off exceptions.At the current team size, a strong FDE will shape not only individual deployments but also the operating model for how the company scales AI adoption with customers.This role is not for you ifYou want a role that stays mostly internal.You do not want to spend time with customers.You prefer well-specified tickets over ambiguous end-to-end ownership.You are uncomfortable debugging production issues in customer environments.You want model research without deployment responsibility.Compensation and logisticsBase salary: $150K–$230KEquity: competitiveLocation: San Francisco, CAWork model: on-site, Monday through Friday in the Mission officeEmployment: full-timeVisa support: availableInterview processCultural fit — 30 min: motivation, communication, and role alignment.Applied algorithms and data structures — 30–45 min: technical depth and problem solving.System design — 30–45 min: architecture judgment for real deployments.Strategy and operations case study — 30–45 min: how you think about customer outcomes, prioritization, and execution.About AuroraAurora helps exceptional engineers find the right role at some of the most ambitious startups worldwide.We work with teams that value high ownership, strong technical standards, and clear impact.","company":"Aurora","rawCompany":"aurora","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-04T15:52:16.435Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Forward Deployed Engineer","description":"Forward Deployed Engineer (FDE)Applied AI for insurance claimsSan Francisco, CA · On-site · Full-time$150K–$230K base + competitive equityThe companyThis is an early-stage applied AI company rebuilding claims processing in the $280B insurance industry.The product helps the largest insurers deploy multi-modal, agentic AI systems that improve claims outcomes and loss ratios.In less than a year, the company has reached multi-seven-figure ARR and roughly 50% month-over-month growth.It raised a 13x oversubscribed $3.8M seed round from Founders Fund and Emergence Capital, led by a partner who was early at OpenAI and Scale AI.The team is a concentrated group of engineers from DRW, Optiver, AWS, and Palantir; AI researchers from Oxford and Cambridge labs with publications at ICML, ICCV, and NeurIPS; and ICPC and Olympiad winners.Today the team is still small, so every strong deployment changes both the customer experience and the product roadmap.The roleThis is a Forward Deployed Engineer role for someone who wants direct ownership of customer outcomes and the code that ships them.You will own deployments end to end, from scoping through go-live and the iteration that follows.You will work directly with senior client stakeholders and their technical teams, and you will stay responsible for the system after launch.This role sits at the intersection of applied AI, enterprise integration, and customer-facing delivery. The output is not a one-off prototype; it is a deployment that has to work inside a real insurer’s operating model.The technical problemClaims workflows are full of exceptions, human review, changing rules, and unstructured inputs.The hard part is not making a demo work once. It is turning multi-modal, agentic AI into a system that performs consistently inside real insurer environments, where accuracy, latency, and operational fit all matter.That means debugging integrations, shaping prompts and model behavior, measuring outcomes, and feeding what you learn back into the platform.What you'll ownCustomer deployments end to end: scope the problem, define the integration path, implement the solution, and drive it through go-live.Senior stakeholder management: work directly with claims, operations, and technical leaders at customer organizations; keep priorities aligned and unblock decisions quickly.Applied AI development: build and evolve agents, prompts, model calls, and evaluation loops for claims use cases.Hands-on integration work: connect the product to customer APIs and internal systems, and debug issues with customer technical teams.Rapid prototyping: use Python and AI-assisted coding tools to get to working code quickly, then harden the path that matters.Feedback into the core platform: translate deployment patterns into reusable product improvements with the platform team.Playbooks: capture repeatable deployment patterns so future deployments do not start from zero.Who this is forYou are likely a fit if you have:Owned technical delivery in a client-facing role and can write production code, not just manage implementation.Worked in ambiguous enterprise environments where requirements, stakeholders, and systems all change mid-flight.Strong judgment around when to prototype, when to simplify, and when to put guardrails in place.Experience with APIs, system integration, and production debugging in customer environments.Comfort working directly with executives, operators, and engineers without relying on a heavy process layer.Interest in applied AI systems that have to work under real operational constraints.The ability to explain tradeoffs clearly and make decisions that hold up after launch.Experience at an early-stage, VC-backed startup is a plus, but the real requirement is senior-level ownership.Tech stackPrimary language: PythonThe stack is Python-heavy, and the role expects you to move from prototype code to production-quality systems without hand-holding.Why nowThe company has moved past the earliest proof point and now needs repeatable deployment capacity.Each new customer exposes new edge cases in claims workflows, integration surfaces, and model behavior. The FDE role is how those edge cases get converted into product leverage instead of one-off exceptions.At the current team size, a strong FDE will shape not only individual deployments but also the operating model for how the company scales AI adoption with customers.This role is not for you ifYou want a role that stays mostly internal.You do not want to spend time with customers.You prefer well-specified tickets over ambiguous end-to-end ownership.You are uncomfortable debugging production issues in customer environments.You want model research without deployment responsibility.Compensation and logisticsBase salary: $150K–$230KEquity: competitiveLocation: San Francisco, CAWork model: on-site, Monday through Friday in the Mission officeEmployment: full-timeVisa support: availableInterview processCultural fit — 30 min: motivation, communication, and role alignment.Applied algorithms and data structures — 30–45 min: technical depth and problem solving.System design — 30–45 min: architecture judgment for real deployments.Strategy and operations case study — 30–45 min: how you think about customer outcomes, prioritization, and execution.About AuroraAurora helps exceptional engineers find the right role at some of the most ambitious startups worldwide.We work with teams that value high ownership, strong technical standards, and clear impact.","datePosted":"2026-06-04T15:52:16.435Z","dateModified":"2026-06-04T15:52:16.435Z","hiringOrganization":{"@type":"Organization","name":"Aurora","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e2f6d41a30c073feeeb457d"},"url":"https://jobsearcher.com/jobs/1e2f6d41a30c073feeeb457d"}}