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NEXTMOVEFDE careers · United States
Fireworks AI

AI Field Engineer - Enterprise

AI summary of the role

Fireworks AI seeks an AI Field Engineer for the Enterprise track to embed with large customers, building POCs, MVPs, and production integrations hands-on.

What you’ll do

  • Build end-to-end POCs and MVPs inside customer codebases and infrastructure
  • Architect inference foundations and size deployments for GenAI-based products
  • Run load tests and tune latency, throughput, and cost baselines
  • Deploy and validate model families on vLLM and SGLang, optimizing shapes and quantization

What you’ll bring

  • 5+ years in a hands-on, customer-facing technical role (Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, etc.)
  • Proven ability to ship production code in customer environments
  • Strong Python skills and familiarity with Kubernetes and infrastructure engineering
  • Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning (SFT minimum)

Technologies

Python · Kubernetes · vLLM · SGLang · TensorRT-LLM · AWS · Azure · GCP · SFT · DPO · RFT · GPU

About Fireworks AI

Inference cloud for open-source generative AI models with fine-tuning, RL, and evals; powers production AI for Cursor, Notion, Uber, DoorDash.

Series C

Source and classification

Implementation & delivery · Evidence for this classification:

suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog) Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog) The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) The Role 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
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