Fireworks AI

1 month ago

AI Field Engineer - Strategic Partnerships

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

AI Field Engineer for Microsoft Foundry builds and enables joint reference architectures, POCs, and deployment patterns with Microsoft field teams. You’ll own technical relationships across Azure Foundry and Fireworks, run benchmarks, guide model selection and fine-tuning strategies, and translate field signals into product improvements, while engaging enterprise buyers and engineers to scale the partnership.

Location: San Mateo, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Be the technical lead on co-sell motions with Microsoft — joint reference architectures, Azure Foundry integration patterns, and shared POCs for strategic accounts.
•Build end-to-end POCs and MVPs alongside partner engineering teams, working inside their codebases, infrastructure, and constraints.
•Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets.
•Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
•Guide Microsoft’s customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.

Pay and Benefits

Salary: 320,000

Key Requirements

•3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role.
•Demonstrated ability to build production software with customers and deploy in production environments.
•Strong Python skills; comfortable reading, writing, and debugging production code; familiarity with Kubernetes and infrastructure engineering.
•Hands-on fluency with LLM inference including latency/throughput tradeoffs, batching, quantization, and function calling.
•Real experience with fine-tuning (LoRA at minimum; RFT a strong plus) and Azure AI stack (Azure Foundry, Azure OpenAI Service, Azure ML, AKS, Entra/RBAC)

Experience:3+ yearsAIInfrastructureEnterprise softwarePre-sales

Skills:PythonKubernetesAzure FoundryAzure OpenAIAzure MLAKSEntraRBACVLLMSGLangTensorRT-LLMLangChainLlamaIndex

Languages:English

Tech Stack:PythonKubernetesAzure FoundryAzure OpenAIAzure MLAKSEntraRBACVLLMSGLangTensorRT-LLMLangChainLlamaIndex

Company Brief

Fireworks AI

Develops AI-driven tools to generate and optimize visual marketing content for brands and creators, automating production of short-form videos and multimedia assets for social platforms to improve engagement and scale creative workflows.

Industry: SaaS

Website

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Fireworks AI

1 month ago

AI Field Engineer - Strategic Partnerships

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Mateo, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Be the technical lead on co-sell motions with Microsoft — joint reference architectures, Azure Foundry integration patterns, and shared POCs for strategic accounts.
•Build end-to-end POCs and MVPs alongside partner engineering teams, working inside their codebases, infrastructure, and constraints.
•Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets.
•Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.
•Guide Microsoft’s customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.

Pay and Benefits

Salary: 320,000

Key Requirements

•3+ years in a pre-sales, partner engineering, forward-deployed, or technical consulting role.
•Demonstrated ability to build production software with customers and deploy in production environments.
•Strong Python skills; comfortable reading, writing, and debugging production code; familiarity with Kubernetes and infrastructure engineering.
•Hands-on fluency with LLM inference including latency/throughput tradeoffs, batching, quantization, and function calling.
•Real experience with fine-tuning (LoRA at minimum; RFT a strong plus) and Azure AI stack (Azure Foundry, Azure OpenAI Service, Azure ML, AKS, Entra/RBAC)

Experience:3+ yearsAIInfrastructureEnterprise softwarePre-sales

Skills:PythonKubernetesAzure FoundryAzure OpenAIAzure MLAKSEntraRBACVLLMSGLangTensorRT-LLMLangChainLlamaIndex

Languages:English

Tech Stack:PythonKubernetesAzure FoundryAzure OpenAIAzure MLAKSEntraRBACVLLMSGLangTensorRT-LLMLangChainLlamaIndex

Company Brief

Fireworks AI

Industry: SaaS

Website