AI Field Engineer, AI infrastructure (Remote - US)

Summary

Lavendo partners with startups and high-growth companies to help them hire top-tier sales, GTM, and technical talent. The AI Field Engineer role involves running the pre-sales field cycle and shipping production code in customer environments, while collaborating with executive partners at Fortune 500 companies and AI-native startups.

Responsibilities

• Run the full pre-sales field cycle yourself: discovery, POC scoping, model evals, and final model selection
• Ship real production code inside customer environments — this is hands-on building, not advisory slides
• Deploy and fine-tune open-model LLMs using frameworks like vLLM, SGLang, and TensorRT-LLM (SFT baseline, DPO/RFT a big plus)
• Act as a true partner to your sales counterpart, shaping deal strategy rather than just supporting it
• Build relationships across a customer's org, from engineers to executives, and know how to move a deal forward on both levels

Skills

• 3+ years in a client-facing AI/ML role — Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure
• 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 (not bolting them on)
• Full-time work history, and openness to travel to enterprise customers as needed

Qualifications

Must Haves

• 3+ years in a client-facing AI/ML role — Solutions Architect, Forward-Deployed Engineer, Customer Success Engineer, Applied AI Engineer, Sales Engineer, or an AI/ML-focused SWE with genuine customer exposure
• 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 (not bolting them on)
• Full-time work history, and openness to travel to enterprise customers as needed

Benefits

• Visa Sponsorship Details • Open to visa transfers (e.g. OPT, H1B transfers) • Open to visa sponsorships (e.g. new H1B, TN)
• Comprehensive benefits package
• Meaningful equity in a fast-growing, well-funded startup — Series D at a $17.5B valuation
• Open to visa transfers (e.g. OPT, H1B transfers)
• Open to visa sponsorships (e.g. new H1B, TN)