AI Field Engineer — Onsite GenAI Deployments

FDE Times; San Mateo; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Fireworks AI seeks an experienced Field Engineer to embed with customers and partners, turning complex AI problems into production systems. You will ship code, run benchmarks, and architect deployments while leading discovery conversations and aligning stakeholders around architecture and business outcomes.

You will spend significant time onsite with customers, building relationships and trust that accelerate adoption of GenAI capabilities in their products and workflows.

Qualifications

• 5+ years in a hands-on, customer-facing technical role or equivalent.
• Shipped production software with customers in production environments.
• Strong Python skills; able to read, write, and debug production code.
• Experience with Kubernetes and infrastructure engineering.
• Familiarity with inference serving, model fine-tuning, and deployment patterns.

Responsibilities

• Build end-to-end POCs and MVPs with customer engineering teams.
• Architect inference foundations and scale deployments with cost and latency targets.
• Run load tests and establish baselines for latency and throughput.
• Deploy and validate new model families on inference frameworks.
• Lead discovery conversations and translate pain points into product improvements.
• Spend time on-site with customers to build trust and momentum.

Skills

Python

Kubernetes

LLM stack

Cloud platforms

Customer-facing

Prototyping

Tools

vLLM

SGLang

TensorRT-LLM

Azure AI Foundry

AWS Bedrock/SageMaker

Job description

Fireworks AI seeks an experienced Field Engineer to embed with customers and partners, turning complex AI problems into production systems. You will ship code, run benchmarks, and architect deployments while leading discovery conversations and aligning stakeholders around architecture and business outcomes.

You will spend significant time onsite with customers, building relationships and trust that accelerate adoption of GenAI capabilities in their products and workflows.