AI Field Engineer (Microsoft Foundry)

TL;DR

AI Field Engineer (Azure/LLM): Developing and deploying generative AI infrastructure for the Microsoft ecosystem with an accent on reference architectures, inference optimization, and partner integrations. Focus on building production-ready POCs, tuning LLM serving frameworks, and aligning technical roadmaps between hirify.global and Azure Foundry.

Location: San Mateo, CA

Salary: $280,000 - $320,000 USD

Company

hirify.global is a Series C generative AI infrastructure company building the industry's fastest and most scalable LLM inference platform.

What you will do

• Lead technical co-sell motions with Microsoft, creating reference architectures and integration patterns for Azure Foundry.
• Build and deploy end-to-end POCs and MVPs within partner codebases and infrastructure.
• Conduct load testing and tune deployments using vLLM and SGLang to optimize latency and throughput.
• Guide customers on model selection and execute fine-tuning pipelines using SFT, DPO, and RFT.
• Translate partner feedback and product gaps into technical requirements for the Fireworks engineering team.

Requirements

• 3+ years of experience in pre-sales, partner engineering, or forward-deployed technical roles.
• Proficiency in Python and experience with Kubernetes and infrastructure engineering.
• Hands-on expertise with LLM inference, including quantization and function calling.
• Practical experience with fine-tuning techniques, specifically LoRA.
• Deep familiarity with the Azure AI stack, including Azure Foundry, Azure OpenAI, and AKS.
• Ability to work from San Mateo, CA.

Nice to have

• 5+ years of experience managing technical relationships with hyperscalers or major SIs.
• Experience with TensorRT-LLM or other inference serving frameworks.
• Prior experience at a hyperscaler, AI-native cloud, or inference provider.
• Knowledge of agentic frameworks such as LangChain or LlamaIndex.
• Proven track record of taking GenAI POCs from prototype to production-scale.

Culture & Benefits

• Opportunity to solve complex problems in AI infrastructure and low-latency inference.
• Direct impact on the future of AI in a fast-growing, non-bureaucratic environment.
• Collaboration with world-class engineers and AI researchers.
• Competitive salary and meaningful equity in a Series C startup.
• Comprehensive benefits package.