JobHabor

AI Field Engineer - Enterprise

Fireworks AI
Location
Location not stated
Workplace
Remote
Employment
Full Time
Salary
USD 200,000–260,000/yr
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Posted 3mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Build end-to-end POCs and MVPs alongside customer engineering teams
  • Architect inference foundations for GenAI customers
  • Size deployments for market scale
  • Run load tests and tune deployments
  • Deploy and validate new model families on inference frameworks
  • Guide customers on model selection and fine-tuning strategy
  • Build and run fine-tuning pipelines
  • Design and implement evaluation frameworks
  • Lead structured discovery conversations
  • Own the technical relationship from first engagement through production deployment
  • Identify recurring customer pain points and translate into product proposals
  • Codify repeatable deployment patterns and contribute back to internal tooling
  • Feed customer signals back into the product roadmap

Requirements

  • 5+ years in a customer-facing technical role
  • Demonstrated ability to build production software with customers
  • 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
  • Experience with cloud infrastructure (AWS, Azure, GCP)
  • Experience deploying models on GPU infrastructure
  • Exceptional communication skills

Preferred

  • 10+ years in technical field or engineering roles
  • Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM)
  • Experience tuning deployments for real workloads
  • Experience operating as a technical authority inside a customer's environment
  • Track record taking GenAI POCs from prototype to production-scale deployments
  • Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex)
  • Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains

Skills

  • Python
  • Kubernetes
  • AWS
  • Azure
  • GCP
  • vLLM
  • SGLang
  • TensorRT-LLM
  • PyTorch

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