Forward Deployed Engineer

Xpertiz; Mountain View (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Careers in Mountain View seeks a Forward Deployed Engineer (12 months) to join as the second chair on engagements—deep hands-on execution behind the FDE Lead. You’re not customer-facing yet; your value is in the build: turning the Lead's architecture and commitments into working software across the stack, with real depth and real verification.

You’ll own the actual build across frontend (React/Angular), BFF/GraphQL, backend APIs, cloud, and CI/CD, and work with LLM APIs.

Qualifications

• Full-stack, hands-on depth across multiple layers with end-to-end delivery experience.
• AI/agentic engineering fluency: hands-on with agent harnesses and LLM APIs.
• Understanding of architecture and design discussions; able to execute toward direction.
• Delivery ownership with autonomy under a lead's direction.
• Professionalism in working sessions; client-facing exposure not required.
• Nice-to-have: legacy-to-modern migrations or AI-assisted artifacts.

Responsibilities

• Own the actual build across the stack: frontend, BFF/GraphQL, backend APIs, cloud, CI/CD.
• Deliver stack-specific work assigned by the FDE Lead with emphasis on verification and quality.
• Run AI-assisted workflows, ship agents and automations, using LLM APIs.
• Contribute to architecture discussions and support lead's direction without owning the final state.
• Own your delivery slice and manage dependencies and constraints.
• Communicate clearly in internal working sessions.

Skills

Full-stack

AI/agentic engineering

End-to-end delivery

Tools

React

Angular

GraphQL

CI/CD

LLM APIs

Job description

Role: Forward Deployed Engineer

12 Months

JD:

About the role

As the FDE Supporting Engineer, you are the second chair on engagements --- deep hands‑on execution behind the FDE Lead. You're not customer-facing yet; your value is in the build: turning the Lead's architecture and commitments into working software across the stack, with real depth and real verification. This is a strong seat for engineers who want to grow toward an FDE Lead role over time.

What you'll do

• Own the actual build: deep, genuine hands‑on execution across the stack --- frontend (React / Angular), BFF / GraphQL, backend APIs, cloud, and CI/CD.
• Deliver specific stack and microflow work assigned by the FDE Lead, with strong attention to verification and quality.
• Run AI-assisted and agentic engineering workflows hands‑on --- ship agents and automations, and work comfortably directly against LLM APIs.
• Contribute to architecture and design discussions without owning the target‑state decision --- support and execute against the Lead's direction.
• Own your slice of delivery under the Lead's direction, and stay realistic about constraints and dependencies.
• Work professionally and clearly in internal working sessions.

What we're looking for

• Full‑stack, hands‑on depth (core requirement): genuine experience building across multiple layers of the stack --- not a single framework or narrow specialty --- with real end‑to‑end delivery you can speak to in detail.
• AI / agentic engineering fluency (core requirement): hands‑on experience running agent harnesses, building automations, and working directly against LLM APIs --- not just passing exposure to AI tools.
• Working understanding of architecture and target‑state design: enough to execute well against a given direction and contribute meaningfully to design conversations.
• Delivery ownership: comfortable owning your piece of a complex engagement and operating with some autonomy under a lead's direction.
• Client‑facing experience is not required for this seat --- you won't be in the room with the customer's CTO yet --- but professionalism in working sessions is expected.

Nice to have

• Experience with legacy‑to‑modern migrations or modernization work at scale.
• Named AI‑assisted engineering or agent‑building artifacts you can walk through.
• Interest in growing into a customer‑facing FDE Lead role over time.

Growth path

This seat is a proving ground for the FDE Lead track. Engineers who build deep full‑stack and AI fluency, and start developing architecture ownership and stakeholder command, grow into Lead roles over time.