AI Field Engineer - AI Natives
Fireworks AI · San Mateo · New York
CHECKED 1H AGO
Infrastructureremotesenior$200k–$260k
At a glance
Highlights
- Embed with AI-native customers to turn complex AI problems into production systems.
- Build end-to-end POCs and MVPs inside customer codebases and ship them to scale.
- Architect inference foundations so GenAI-native products scale without bottlenecks.
What they offer
- Equity
Ideal candidate
A hands-on builder who thrives embedded with customers, pairing deep engineering craft with executive presence. You love fast-moving AI-native teams, owning ambiguous problems end-to-end and turning prototypes into production impact.
Requirements
- Strong Python skills with ability to read, write, and debug production code
- Familiarity with Kubernetes and infrastructure engineering
- Working knowledge of LLM stack including inference trade-offs, model serving, and fine-tuning workflows
- Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure
- Exceptional communication skills across executive and engineering stakeholders
- Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains
- Track record taking GenAI POCs from prototype to production-scale deployments
Lab profile
About Fireworks AI
Platform for specialized intelligence to build, train, and serve tailored AI models.
What they build
- Platform to build, train, and serve tailored AI models
- Hundreds of open models for production AI
- Text, image, embedding, audio, and multimodal models
Known for
- Founded by team behind PyTorch
- Specialized intelligence tailored to customer data and workflows
- Production-grade AI for text, image, audio, and multimodal workloads
Key facts
- Backed by AMD, NVIDIA, Sequoia Capital, Benchmark Capital, Index Ventures, Lightspeed, TCV, and Atreides