B

AI Field Engineer / Forward Deployed Engineer

burjline builders • United State
Visa Sponsorship
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Join a high-velocity team to turn complex AI challenges into production-ready systems for AI-native companies. Responsibilities include building POCs, MVPs, and production integrations while collaborating with technical and executive stakeholders. Requires 3–10 years of experience in client-facing AI/ML engineering with strong Python and LLM deployment skills.

Key Highlights
Hands-on role sitting at the intersection of AI engineering, product, and customer delivery
Directly contribute code and product improvements to the core codebase
Ownership of projects from initial discovery through production deployment
Key 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 product teams.
Translate customer requirements into scalable technical solutions.
Troubleshoot complex AI, infrastructure, and deployment challenges.
Communicate technical architecture and tradeoffs to engineers and executive stakeholders.
Contribute code and product improvements directly to the codebase.
Turn customer learnings into product feedback to help shape the roadmap.
Technical Skills Required
Python Machine Learning Large Language Models
Benefits & Perks
Base salary $176K–$228K
OTE $220K–$285K
Meaningful equity
H-1B transfers and TN visas sponsored
Nice to Have
vLLM
SGLang
TensorRT-LLM
Kubernetes
AWS, Azure, or GCP
AWS Bedrock / SageMaker
Azure AI Foundry
GCP Vertex AI
LLM fine-tuning (SFT, DPO, or RFT)
GPU infrastructure
Model inference and optimization

Job Description

New York, NY / San Mateo, CA / Remote, USA Full-time 3–10 years $176K–$228K base | $220K–$285K OTE + meaningful equity H-1B transfers and TN visas sponsored; O-1 considered case-by-caseWe’re hiring an to join our AI’s high-velocity teamYou’ll work directly with ambitious AI-native companies to turn complex AI challenges into production-ready systems. This is a highly hands-on role sitting at the intersection of .You’ll build POCs, MVPs, and production integrations while working directly with customers, account executives, and engineering teams. You’ll also engage with technical and executive stakeholders to discuss architecture, strategy, and business outcomes.
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