Forward Deployed Engineer

Rivago Infotech Inc; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Rivago Infotech Inc in Dallas seeks an FDE Supporting Engineer who will be the second chair on engagements—hands-on work behind the FDE Lead, translating architecture into working software across the stack. This role emphasizes deep full-stack execution and AI-enabled processes.

You will own your slice of delivery, contribute to design discussions, and grow toward an FDE Lead role over time. Prior deep full-stack and AI fluency are essential, with comfort working under direction in internal

Qualifications

• Deep, hands-on experience across frontend, backend, and cloud with end-to-end delivery.
• Hands-on experience building across multiple stack layers, not a single framework.
• Fluency with AI/agentic workflows and LLM APIs.

Responsibilities

• Own the build across the stack: frontend, BFF/GraphQL, backend APIs, cloud, and CI/CD.
• Deliver stack and microflow work with emphasis on verification and quality.
• Run AI-assisted engineering workflows and ship agents/automations.
• Contribute to architecture and design discussions under the Lead's direction.
• Own your delivery slice and work autonomously under the Lead.
• Maintain professionalism in internal working sessions.

Skills

Full-stack depth

AI/agentic engineering

End-to-end delivery

LLM API integration

Job description

Duration: Long term Project

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.