AI Field Engineer – Enterprise

Fireworks AI

AI Field Engineer at Fireworks AI embedding with clients to deliver production AI solutions. Lead technical delivery, manage stakeholder relationships, and develop customer-focused systems.

Posted 6/11/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast.
The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments.
Lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap.

Requirements

What you’ll need

5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.

Benefits

Comp & perks

meaningful equity in a fast-growing startup
competitive salary
comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonKubernetesproduction software developmentmodel servingfine-tuning workflowscloud infrastructureAWSAzureGCPGPU infrastructure

Soft Skills

communicationstakeholder alignmentcustomer engagementproblem-solvingexecutive-level conversationdiscovery call facilitationpresentation skillsdebuggingcollaborationcustomer advocacy