Lavendo - AI Field Engineer, AI Infrastructure (Remote
Requirements
• 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 • Key Success Drivers • Key Success Drivers • You're the rare person equally comfortable debugging inference trade-offs with an ML engineer in the morning and presenting the same trade-offs to a VP by afternoon. You bring genuine customer obsession alongside technical depth — this role rewards people who've shipped things themselves, not just advised on them. Strong candidates own outcomes end-to-end and know how to build trust across both engineering and executive stakeholders.
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
Benefits
• OTE $220K – $280K • Offers Equity • Offers Bonus • Comprehensive benefits package; visa transfer available • Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. • Our 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 — no more relying on someone else's black-box API. Their platform runs in production for some of the most recognizable names in tech, spanning text, image, embedding, audio, and multimodal workloads. Freshly backed by a Series D at a $17.5B valuation, this is a company with real scale, real customers, and real momentum behind it. • The Mission • The Mission • They believe the next generation of great products will be built by companies that own their AI stack, not just rent it. Their mission is making open-model AI infrastructure genuinely fast, flexible, and production-grade for the teams building at the frontier. • Base salary $176K–$224K, OTE $220K–$280K • Performance-based variable compensation, paid quarterly • Meaningful equity in a fast-growing, well-funded startup — Series D at a $17.5B valuation • Location • Remote-friendly with hubs in New York and San Mateo — flexibility to work from anywhere in the US with regular travel to enterprise customers • Visa Sponsorship Details • Open to visa transfers (e.g. OPT, H1B transfers) • Open to visa sponsorships (e.g. new H1B, TN) • Interviewing Process • Recruiter/hiring manager screen (30 min): logistics, motivation, fit • 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
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