AI Field Engineer – Enterprise

Job not on LinkedIn

🔥 13 hours ago

🏄 California, New York – Remote

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💵 $176k - $224k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 Field Service Engineer

👻 Ghost score 10%

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Logo of decircle

decircle

1 - 10 employees

Founded 2019

📣 Marketing

📦 Logistics

💼 Consulting

Marketing • Logistics • Consulting

Decircle is a talent partner specializing in staffing and recruiting for decentralized organizations and projects related to Web3. As a boutique recruitment agency, Decircle focuses on identifying and attracting talent in the blockchain and Web3 sectors, fostering connections within the community of decentralization enthusiasts and guiding them in finding their roles in the evolving decentralized landscape.

📋 Description

• Lead technical discovery calls • Scope proofs of concept • Run load tests and evaluations to validate model architecture and deployment configuration • Build end-to-end POCs and production integrations inside customer environments • Navigate customer infrastructure, security requirements, and organizational constraints • Guide customers on model selection, fine-tuning strategy, and evaluation frameworks • Move customers from open-model exploration to production at scale • Manage multi-stakeholder enterprise relationships • Identify technical champions and align stakeholders to move deals forward • Feed recurring customer pain points and deployment patterns back into the product roadmap • Drive enterprise deals from discovery through production deployment

🎯 Requirements

• 3+ years in client-facing AI/ML roles • Deep hands-on experience with LLM inference and/or training • Working knowledge of open-model frameworks: vLLM, SGLang, and TensorRT-LLM • Experience with LLM fine-tuning; SFT minimum, with DPO/RFT a strong plus • Closed-model/API-wrapper-only experience will not clear the bar • Proven ability to ship production code inside a customer's environment • Strong Python skills • Experience with GPU and cloud infrastructure on AWS, Azure, or GCP • Comfort with Kubernetes • Executive presence and enterprise navigation • Ability to deep-dive with an ML engineer and present trade-offs to a VP the same day • Pre-sales or customer-facing field engineering experience, such as FDE, Applied AI Engineer, or Solutions Architect • Pure SWEs without customer-facing exposure are not a fit

🏖️ Benefits

• Meaningful equity on top of OTE • H-1B transfers sponsored • TN sponsored • O-1 sponsorship considered case-by-case • Remote-friendly work arrangement • Offices in San Mateo, CA and New York, NY • Client-facing exposure from week 1–2 • Opportunity to push PRs to the Fireworks codebase

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