Forward Deployed Engineer Fast-growing software company San Francisco, California $180k to $230k USD base a year

raydar; San Francisco (CA); Híbrido; USD 180 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Resumo da oferta

Raydar is seeking a Forward Deployed Engineer to work directly with business customers, deploying and configuring AI-driven software in production environments. You will own customer rollouts from scoping through delivery, and bring field learnings back to the engineering team to strengthen the core platform.

Act as the technical partner to the commercial team throughout the sales and expansion process. Embed with customers, build evaluation suites with real data, and collaborate with

Qualificações

• Hands-on experience building and deploying LLM-based agents with customers.
• Customer-facing technical deployment or implementation experience, owning rollouts.
• Strong Python skills with FastAPI and React for frontend work.
• Experience at a high-growth startup in an early-stage setting.
• For junior candidates, a degree from a strong computer science program.

Responsabilidades

• Embed with customers to understand processes and identify automation value.
• Deploy and configure AI agents, including data source connections and SSO integrations.
• Build evaluation suites using real customer data to verify quality before release.
• Partner with the go-to-market team to close and expand accounts as the technical authority.
• Feed field insights back into core product and diagnose production issues.

Conhecimentos

LLM agents

Python (FastAPI)

React

Startup experience

Bay Area relocation

Formação académica

CS degree

Ferramentas

FastAPI

React

Descrição da oferta de emprego

# Forward Deployed EngineerFast-growing software company* LocationSan Francisco, California* TypeFull-time* Posted17 October 2026Apply for this roleTalk to us firstYou apply on Workable, where Raydar manages applications.The role, as published## About the companyOur client is a fast-growing software company.## The roleRaydar is recruiting for this role on behalf of our client. Work directly with business customers to deploy and configure AI-driven software in production environments. Own customer rollouts from scoping through delivery, and bring field learnings back to the engineering team to strengthen the core platform. Act as the technical partner to the commercial team throughout the sales and expansion process.## What you'll do* Embed with customers to understand their existing processes and identify where automation adds the most value.* Deploy and configure AI agents against customer systems, including data source connections, single sign-on and other integrations.* **Build evaluation suites using** real customer data to verify quality before release, and iterate until quality targets are met.* **Partner with the go-to-market team to close**, activate and expand accounts as the technical authority.* Feed field insights back into the core product and fix platform limitations when they get in the way.* Debug live deployments and perform root cause analysis when agents behave unexpectedly in production.* **Own the smallest end-to-end slice that demonstrates value**, then expand from there.## What we're looking for* Hands-on experience building and deploying LLM-based agents with customers, including prompts, evaluations and long-running workflows.* Customer-facing technical deployment or implementation experience, owning rollouts rather than only building the platform.* Strong Python skills with FastAPI for backend work and React for frontend work.* Experience at a high-growth startup in an early-stage, zero-to-one setting.* For junior candidates, a degree from a strong computer science program.* Lives in the Bay Area already or is ready to move there to work in a hybrid setup.## Bonus points* A career path that moved from a large technology employer into startups.* Prior experience as a founder or founding engineer at an early-stage company.## Location and work model* SF Bay Area, CA, United States (also San Francisco and Los Angeles, CA)* Hybrid* Full-time## Compensation, as the posting describes it* EquityPay$180k to $230kUSD base a year