AI Field Engineer, AI Infrastructure (Remote - US)

The role

You will run the full pre-sales field cycle and ship production code inside customer environments. You will deploy and fine-tune open-model LLMs and act as a partner to sales counterparts.

What you will do

• Run the full pre-sales field cycle including discovery, POC scoping, model evals, and final model selection
• Ship real production code inside customer environments
• Deploy and fine-tune open-model LLMs using frameworks like vLLM, SGLang, and TensorRT-LLM
• Act as a true partner to your sales counterpart, shaping deal strategy
• Build relationships across a customer's org from engineers to executives

Required qualifications

• 3+ years in a client-facing AI/ML role
• Real hands-on experience with open-model LLM inference and/or fine-tuning
• Hyperscaler experience in an AI context (AWS, Azure, or GCP)
• Strong Python skills
• Comfort with GPU infrastructure and Kubernetes
• A background at an AI-native company or a SaaS company genuinely building AI features
• Full-time work history
• Openness to travel to enterprise customers as needed

Nice to have

• SFT baseline, DPO/RFT

Benefits

• Comprehensive benefits package

Before you apply

• Take-home (5 days): build a working text-to-SQL system
• Culture + live coding (45 min): product discussion, extend your code live
• Discovery + hiring manager (45 min): live discovery role-play
• Executive conversation (30 min): short demo + values discussion
• Open to visa transfers (e.g. OPT, H1B transfers) and visa sponsorships (e.g. new H1B, TN)

About the company

Lavendo partners with startups and high-growth companies to help them hire top-tier sales, GTM, and technical talent. The client is a fast-scaling AI infrastructure company that helps enterprises and AI-native startups build, fine-tune, and serve their own specialized AI models.