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# Forward Deployed Engineers

- **Company:** DOORDASH, INC.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Software Debugging, Distributed Systems, Python (Programming Language), Enterprise Software Applications, Chatbots, Large Language Models
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-forward-deployed-engineer-giga-8820339

## About the Role

* Strong engineering foundation. 5+ years of production software engineering, ideally at companies known for high engineering bars. You've shipped and operated real systems at scale.
 * Deep on the stack. Expert in Python, APIs, cloud infrastructure, CI/CD. You debug distributed systems under pressure and learn new integration surfaces quickly.
 * AI-native. Hands-on with LLM agent systems - orchestration, tool calling, evals, context engineering - and the latency budgets real-time voice demands (or the chops to ramp fast).
 * Customer-tolerant. You can sit across from enterprise stakeholders, translate ambiguity into a plan, and stay calm when production is on fire in front of them.
 * High agency. You find the highest-leverage problem and go, with limited or no guidance., * Prior forward deployed / solutions engineering at an AI or enterprise software company
 * Real-time voice or conversational AI experience
 * Early-stage startup experience

## Description

We're hiring Senior Forward Deployed Engineers as we scale our FDE organization. This is a senior individual contributor role - for engineers who want to stay engineers: you'll be the technical anchor of a pod of FDEs, own our most complex enterprise deployments, and build the tooling and practices that make every deployment after yours faster. Your impact spans the org - the systems, patterns, and standards you build become how every pod operates., * Own the hardest deployments end-to-end. Architect agent systems for Fortune 500 environments, build enterprise integrations, and make the scope/speed/quality trade-off calls that ship production agents on aggressive timelines.

 * Be the technical anchor of your pod. Set the engineering bar through design and code reviews, mentor FDE I/II engineers, and serve as the escalation point for the hardest live issues - real-time voice latency, telephony edge cases, integration failures, agent quality regressions.
 * Build leverage, not just deployments. Create the eval harnesses, deployment tooling, debugging infrastructure, and reusable patterns that compound across every pod.
 * Drive the product feedback loop. Turn deployment learnings into prototypes and concrete asks, and work directly with core engineering to land platform improvements.
 * Face the customer as a technical peer. Run architecture discussions with customer engineering leaders and be the person they trust when production breaks.


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