AI Field Engineer — Build Production-Ready AI

Burjline Builders

United States

À distance

USD 220 000 - 285 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Equity
Visa sponsorship
Remote-friendly
Competitive compensation

Résumé du poste

Himalayas is hiring an AI Field Engineer to work directly with ambitious AI-native companies, turning complex challenges into production-ready systems. You will build POCs, MVPs, and production integrations while engaging with customers, account executives, and engineering teams.

You’ll deploy AI workloads, work with open-source models, and contribute to product improvements. This hands-on role sits at the intersection of AI engineering, product, and customer delivery.

Qualifications

  • 3–10 years of client-facing technical or AI/ML engineering experience.
  • Strong Python programming skills.
  • Experience building and deploying AI/ML or generative AI applications.
  • Experience working with LLMs and/or open-source AI models.
  • Ability to communicate complex technical concepts clearly to customers and executives.

Responsabilités

  • Work directly with customers to understand technical and business challenges.
  • Design and build POCs, MVPs, and production AI applications.
  • Deploy and optimize LLM and generative AI workloads in production.
  • Collaborate with customer engineering teams and internal product/engineering teams.
  • Translate customer requirements into scalable technical solutions.

Connaissances

Python
LLM deployment
Customer engagement
AI/ML engineering
Problem solving

Outils

vLLM
TensorRT-LLM
Kubernetes
AWS
Azure
GCP

Description du poste

Himalayas is hiring an AI Field Engineer to work directly with ambitious AI-native companies, turning complex challenges into production-ready systems. You will build POCs, MVPs, and production integrations while engaging with customers, account executives, and engineering teams.

You’ll deploy AI workloads, work with open-source models, and contribute to product improvements. This hands-on role sits at the intersection of AI engineering, product, and customer delivery.

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