Role: Forward Deployed Engineer
No of positions: 5
Rate: $70 USD
Location: Mountain View, CA
No of positions: 5
Rate: $70 USD
Location: Mountain View, CA
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.
· 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.
· 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.
· 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.