AI Field Engineer, AI infrastructure

Job not on LinkedIn

🕒 August 4

🇺🇸 United States – Remote

💵 $176k - $224k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 Field Service Engineer

👻 Ghost score 9%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lavendo

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Lavendo is a premier go-to-market (GTM) and tech sales recruiting firm based in Silicon Valley. The company specializes in building winning sales teams for startups and enterprises by providing top-performing candidates that fit the company's culture and needs. Lavendo offers a range of recruiting services with no upfront payment, promising a quick time-to-hire and a high retention rate for placed candidates. With a flat, transparent recruiting fee, Lavendo caters to a variety of sales roles from entry-level to executive positions. The firm is committed to a thorough recruitment process, ongoing support, and providing value through a strong network of tech professionals.

📋 Description

• Run the full pre-sales field cycle: discovery, POC scoping, model evaluations, and final model selection • Ship production code inside customer environments • Deploy and fine-tune open-model LLMs using vLLM, SGLang, and TensorRT-LLM • Act as a partner to the sales counterpart and shape deal strategy • Build relationships with engineers and executives across customer organizations • Own the technical win from the first discovery call through production • Work directly with VP Engineering, Head of AI/ML, and CTO-level partners at enterprise and AI-native customers • Travel to enterprise customers as needed

🎯 Requirements

• 3+ years in a client-facing AI/ML role • Hands-on experience with open-model LLM inference and/or fine-tuning • Hyperscaler experience in an AI context with AWS, Azure, or GCP • Strong Python skills • Comfort with GPU infrastructure and Kubernetes • Background at an AI-native company or SaaS company genuinely building AI features • Full-time work history • Openness to travel to enterprise customers as needed • Ability to deploy and fine-tune open-model LLMs using vLLM, SGLang, and TensorRT-LLM • SFT baseline experience; DPO/RFT is a big plus • Customer-facing technical depth across engineering and executive stakeholders • Must be authorized to work in the US or qualify for available US visa transfer/sponsorship options

🏖️ Benefits

• Performance-based variable compensation, paid quarterly • Meaningful equity in a fast-growing, well-funded startup • Comprehensive benefits package • Visa transfers (e.g. OPT, H1B transfers) available • Visa sponsorships (e.g. new H1B, TN) available • Flexibility to work from anywhere in the US • Remote-friendly work arrangement

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