GenAI Field Engineer: Enterprise Deployments

Fireworks

Singapore

On-site

SGD 140,000 - 200,000

Full time

14 days+

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Job summary

Fireworks is seeking an AI Field Engineer to embed with enterprise clients, turning complex AI problems into production-ready solutions. You’ll ship code, run benchmarks, and architect deployments while engaging with executives.

This role blends hands-on delivery with stakeholder management, discovery conversations, and on-site collaboration to drive product improvements and customer outcomes. Ideal candidates have 5+ years in customer-facing tech, strong Python, Kubernetes, and experience with

Qualifications

  • 5+ years in a hands-on, customer-facing technical role.
  • Shipped production code in a customer production environment.
  • Strong Python skills; Kubernetes and infrastructure engineering experience.
  • Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows.
  • Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
  • Exceptional communication: run discovery calls, present to VPs, debug latency with engineers.

Responsibilities

  • Build end-to-end POCs and MVPs with customer teams using their codebases and infra.
  • Architect inference foundations and scale deployments without infrastructure bottlenecks.
  • Run load tests, establish latency and throughput baselines for real customer traffic.
  • Deploy and validate new model families across inference frameworks.
  • Guide customers on model selection and fine-tuning strategies (SFT, DPO, RFT).
  • Own the technical relationship from first engagement to production deployment, on-site with customers.

Skills

Hands-on technical
Customer-facing
Python
Kubernetes
LLM stack
Cloud infra
GPU deployment

Tools

vLLM
SGLang
TensorRT-LLM

Job description

Fireworks is seeking an AI Field Engineer to embed with enterprise clients, turning complex AI problems into production-ready solutions. You’ll ship code, run benchmarks, and architect deployments while engaging with executives.

This role blends hands-on delivery with stakeholder management, discovery conversations, and on-site collaboration to drive product improvements and customer outcomes. Ideal candidates have 5+ years in customer-facing tech, strong Python, Kubernetes, and experience with

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