AI Field Engineer - Strategic Partnerships

The role

You will be a technical owner for strategic partnerships, building reference architectures and running benchmarks. You will work with partner field teams, ISVs, and SIs to make Fireworks the default inference and fine-tuning layer. You will also build POCs, debug production integrations, and translate field signals into product improvements.

What you will do

• Be the technical lead on co-sell motions with Strategic Partners
• Build end-to-end POCs and MVPs alongside partner engineering teams
• Run load tests and establish latency, throughput, and cost baselines
• Deploy and validate new model families on inference frameworks
• Guide customers on model selection, fine-tuning strategy, and evaluation methodology
• Build and run fine-tuning pipelines directly with customers
• Design and implement evaluation frameworks
• Surface partner-driven product gaps to Fireworks engineering
• Ship external technical content like reference architectures and integration guides
• Track pipeline health and flag risks to Field leadership weekly

Required qualifications

• 3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role
• Demonstrated ability to build production software with customers
• Strong Python skills
• Familiarity with Kubernetes and infrastructure engineering
• Hands-on fluency with LLM inference
• Real experience with fine-tuning — LoRA at minimum
• Deep familiarity with the Azure AI stack: Azure Foundry, Azure OpenAI Service, Azure ML, AKS, Entra/RBAC for AI workloads
• Exceptional communication

Nice to have

• 5+ years in technical field or engineering roles where you've owned a technical relationship with a hyperscaler or major SI
• Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM)
• Prior role at a hyperscaler, AI-native cloud, or inference provider
• Deep familiarity with other strategic partner stacks
• Experience with agentic frameworks (LangChain, LlamaIndex, or custom tool-use pipelines)
• Background in model evaluation
• Written a technical blog post or reference architecture
• Track record taking GenAI POCs from prototype to production-scale deployments
• RFT fine-tuning experience

Benefits

• Competitive salary
• Meaningful equity
• Comprehensive benefits package

About the company

Fireworks is a Series D company providing a platform for specialized intelligence to build, train, and serve AI models. The company is backed by AMD, NVIDIA, Sequoia Capital, and others.