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AI Field Engineer / Forward Deployed Engineer (FDE)

Burjline Builders•United States•🌍 Remote
Full-timeSenior
$176K - $228K
per year
👁️ 0 views•📝 0 applications•Posted 10/13/2026•Expires 12/12/2026
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Job Description

Location: New York, NY / San Mateo, CA / Remote, USA Employment Type: Full-time Experience: 3–10 years Compensation: $176K–$228K base | $220K–$285K OTE + meaningful equity Visa: H-1B transfers and TN visas sponsored; O-1 considered case-by-case About the Role We’re hiring an AI Field Engineer / Forward Deployed Engineer (FDE) to join our AI’s high-velocity team You’ll work directly with ambitious AI-native companies to turn complex AI challenges into production-ready systems.

This is a highly hands-on role sitting at the intersection of AI engineering, product, and customer delivery . You’ll build POCs, MVPs, and production integrations while working directly with customers, account executives, and engineering teams.

You’ll also engage with technical and executive stakeholders to discuss architecture, strategy, and business outcomes. This is not a traditional consulting or solutions role you’ll be hands-on-keyboard , writing code, deploying systems, solving technical problems, and contributing directly to our products and platform.

What You’ll Do Work directly with customers to understand their technical and business challenges. Design and build POCs, MVPs, and production AI applications. Deploy and optimize LLM and generative AI workloads in production. Work with open-source models, inference infrastructure, and AI/ML platforms.

Collaborate with customer engineering teams, account executives, and Fireworks product/engineering teams. Translate customer requirements into scalable technical solutions. Troubleshoot complex AI, infrastructure, and deployment challenges.

Communicate technical architecture and tradeoffs to both engineers and executive stakeholders. Contribute code and product improvements directly to the codebase. Turn customer learnings into product feedback and help shape our roadmap. Take ownership of projects from initial discovery through production deployment.

What We’re Looking For We’re looking for engineers who combine strong technical depth with

Required Skills

Machine Learning

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