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AI Field Engineer (Enterprise)

United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Medilinkers is seeking an AI Field Engineer to work with enterprise customers, driving technical evaluations and production deployments. The ideal candidate will have 3+ years of experience in AI/ML field engineering and strong customer-facing skills. Key requirements include deep hands-on experience with LLM inference and fine-tuning, as well as strong Python programming skills.

Key Highlights
Lead technical discovery calls and scope POCs
Build end-to-end POCs and production integrations
Guide customers on model selection and fine-tuning strategies
Key Responsibilities
Lead technical discovery calls, scope POCs, and run load tests and evaluations
Build end-to-end POCs and production integrations hands-on within customer environments
Guide customers on model selection, fine-tuning strategies, and evaluation frameworks
Technical Skills Required
Python LLM inference and fine-tuning Kubernetes
Benefits & Perks
Competitive equity package
Quarterly performance-based variable compensation
Visa sponsorship available
Nice to Have
Experience with Azure AI Foundry, AWS Bedrock, AWS SageMaker, GCP Vertex AI
Knowledge of GPU optimization and performance tuning for LLM workloads

Job Description

AI Field Engineer (Enterprise)

Medilinkers, in partnership with AI Talent Hunt, is conducting a confidential search on behalf of a rapidly growing AI infrastructure company.

About the Role:

Medilinkers, in partnership with AI Talent Hunt, is looking for an AI Field Engineer (Enterprise) with 3+ years of experience to embed with some of the most ambitious enterprise customers and turn complex GenAI challenges into production systems — fast. You'll combine deep hands-on engineering expertise with strong customer-facing skills to drive technical evaluations, proof-of-concepts, and production deployments across enterprise environments.

What You'll Be Doing
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