AI Field Engineer – Enterprise (Remote, US-Based)

Medilinkers, in partnership with AI Talent Hunt, is hiring for its client.

Role: AI Field Engineer – Enterprise

Type: Full-time

Location: Remote (US-based; travel required)

Compensation: $176K – $224K base (OTE: $220K – $280K) + equity

We are seeking an experienced AI Field Engineer (Enterprise) to work closely with high-impact enterprise customers, helping transform complex GenAI challenges into production-ready systems. This role blends deep technical execution with strong customer-facing and pre-sales capabilities.

• Lead technical discovery sessions, scope POCs, and conduct evaluations to determine optimal model architectures
• Build and deploy end-to-end POCs and production integrations within customer environments
• Advise on model selection, fine-tuning strategies (SFT, DPO, RFT), and evaluation frameworks
• Manage enterprise stakeholders, align technical champions, and navigate organizational dynamics
• Provide feedback from customer deployments to internal product and engineering teams

• 3+ years in customer-facing AI/ML roles (Field Engineering, Applied AI, Solutions Architecture, etc.)
• Proven experience shipping production AI/ML systems within customer environments
• Hands-on experience with LLM inference, fine-tuning, and deployment
• Experience running full pre-sales cycles (discovery → POC → production)
• Background in fast-paced AI/ML or infrastructure-focused environments

• Strong experience with LLM serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM)
• Solid Python programming and Kubernetes expertise
• Experience with fine-tuning methodologies (SFT required; DPO/RFT a plus)
• Familiarity with GPU optimization for LLM workloads
• Experience with cloud platforms (AWS, Azure, or GCP)

• Strong executive presence and communication skills
• Ability to engage both technical and business stakeholders
• Experience navigating enterprise environments and decision cycles

• Willingness to travel domestically to customer sites
• Ability to work in a fast-paced, high-impact environment

• $220K – $280K OTE (80/20 split, paid quarterly)
• Competitive equity package
• Visa sponsorship available (H-1B, TN; O-1 case-by-case)
• Remote-first with optional hybrid setup near major hubs

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Python, Kubernetes, vLLM, SGLang, TensorRT-LLM, AWS, Azure, GCP, LLM Fine-Tuning (SFT/DPO/RFT), GPU Infrastructure

• Experience with LLM inference frameworks and fine-tuning workflows
• Examples of production deployments in customer environments
• Collaboration with sales teams on enterprise deals
• Salary expectations and job search status
• Willingness to travel and/or relocate if needed

• Hands-on with open-model LLM deployment and optimization
• Experience in building and scaling AI systems in real-world environments
• Comfortable operating across both technical and business domains