Remote AI Field Engineer — Production & Client Delivery

Qureos; New York (NY); Remote; USD 176,000 - 228,000; Full time

Benefits offered by this job

Equity

US visa sponsorship

Job summary

Qureos in the United States (NY) is seeking an AI Field Engineer / Forward Deployed Engineer to join our high-velocity AI team. You will work directly with ambitious AI-native companies to turn complex AI challenges into production-ready systems at the intersection of AI engineering, product, and customer delivery.

This hands-on role involves building POCs, MVPs, and production integrations, deploying LLM workloads, and collaborating with customers and internal teams to discuss architecture,

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 technical concepts clearly with customers.
• Experience building POCs and taking solutions toward production.
• Strong problem-solving skills and comfort in ambiguous environments.
• Willingness to work hands-on across engineering, customer delivery, and product.

Responsibilities

• Work directly with customers to understand their technical and business challenges.
• Design and build POCs, MVPs, and production AI applications.
• Deploy and optimize LLM and generative AI workloads in production.
• Work with open-source models, inference infrastructure, and AI/ML platforms.
• Collaborate with customer engineering teams, account executives, and Fireworks product/engineering teams.
• Translate customer requirements into scalable technical solutions.
• Troubleshoot complex AI, infrastructure, and deployment challenges.
• Communicate technical architecture and tradeoffs to engineers and executives.
• Contribute code and product improvements directly to the codebase.
• Turn customer learnings into product feedback and help shape roadmap.
• Take ownership of projects from discovery through production deployment.

Skills

Python

LLMs

POCs

Production deployments

Customer communication

AI/ML engineering

Ambiguity tolerance

Hands-on

Tools

Python

vLLM

SGLang

TensorRT-LLM

Kubernetes

AWS

Azure

GCP

Bedrock

SageMaker

Vertex AI

GPU infrastructure

Job description

Qureos in the United States (NY) is seeking an AI Field Engineer / Forward Deployed Engineer to join our high-velocity AI team. You will work directly with ambitious AI-native companies to turn complex AI challenges into production-ready systems at the intersection of AI engineering, product, and customer delivery.

This hands-on role involves building POCs, MVPs, and production integrations, deploying LLM workloads, and collaborating with customers and internal teams to discuss architecture,