- Raydar
- San Francisco, CA
- Full-Time
- 22 days ago
- $160,000–$245,000 / year
Forward Deployed Engineer.
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Forward Deployed Engineer: our view in 3 lines...
- The Role:This is a client-facing engineering role focused on deploying AI software in large businesses, combining software implementation with ownership of client deployments.
- The Person:The person will identify client process and documentation gaps, build connectors and retrieval pipelines, evaluate model quality, manage deployments and ongoing client support, and relay feedback to product teams.
- Requirements:The ideal candidate has experience with APIs, webhooks, ETL, LLM or retrieval features, client-specific evaluations, and integrating ITSM, ERP, field-service, and maintenance platforms.
About the role
About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Partner directly with large business clients to put AI-driven software into live use, from the final sales stages through production rollout. The work blends hands-on engineering with ownership of the client relationship, including connecting the product to client systems and measuring its quality.
What you'll do
- Spend time on site with end users to spot weaknesses in their processes and documentation, then organize that knowledge so AI systems can use it.
- Build quick, pragmatic connectors and retrieval pipelines linking the product to clients' business software.
- Create tailored evaluation methods for each client segment from limited real-world data, and work with engineering to raise model quality.
- Manage the full client journey, covering late-stage demonstrations, onboarding, expansion across multiple locations and continued support.
- Pass field feedback and feature ideas to the product team, and guide change management inside large, established organizations.
Requirements
What we're looking for
- Background in building system connectors and data flows, such as APIs, webhooks or ETL across several platforms, or retrieval-based AI for business use.
- A technical degree or an equivalent record of shipping and deploying software; a strong school or strong prior employer is the usual expectation, otherwise very strong, verifiable results in relevant past work.
- Experience delivering software directly to clients in large, asset-heavy or regulated sectors.
- Experience adding LLM or retrieval features to a client workflow and creating evals to measure the outcome.
- Familiarity with integrating ITSM, ERP, field-service and maintenance platforms.
- A track record of taking deployments from pilot to production and producing results clients can measure.
- Hands-on experience personally building and shipping agentic or retrieval-based AI features.
- Willingness to travel domestically about 25% of the time.
- Roughly 1 to 5 years of relevant experience.
Bonus points
- Prior experience on an early-stage or founding team responsible for deployment or sales.
- Past startup founder experience with commercial traction.
Benefits
Compensation and benefits
- Base salary: USD 160,000 to 245,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in the office when not traveling
- Full-time