New opportunity

AI Field Engineer / Forward Deployed Engineer (FDE)

Burjline Builders · New York, United States

About this role

This hands-on, customer-facing AI engineering role turns complex challenges at AI-native companies into production-ready systems. The engineer works across AI engineering, product and customer delivery, building proofs of concept (POCs), minimum viable products (MVPs) and production integrations rather than serving solely in a consulting or advisory capacity.

Responsibilities

  • Work with customers to understand technical and business needs, translate requirements into scalable solutions, and own projects from discovery through production deployment.
  • Design and build AI applications; deploy and optimize LLM and generative AI workloads using open-source models, inference infrastructure and AI/ML platforms.
  • Write code, troubleshoot AI, infrastructure and deployment problems, and contribute improvements directly to the product and platform codebase.
  • Collaborate with customer engineering teams, account executives and Fireworks product and engineering teams. Explain architecture, tradeoffs, strategy and business outcomes to engineers and executives, and turn customer learnings into product feedback.

Required qualifications

3–10 years of experience in a client-facing technical or AI/ML engineering role; strong Python skills; experience building and deploying AI/ML or generative AI applications, working with LLMs and/or open-source AI models, and developing POCs toward production. The role requires clear customer communication, problem-solving in ambiguous environments, and willingness to work hands-on across engineering, delivery and product.

Relevant technical experience includes some—not all—of vLLM, SGLang, TensorRT-LLM, Kubernetes, AWS, Azure, GCP, AWS Bedrock, SageMaker, Azure AI Foundry, Vertex AI, LLM fine-tuning (SFT, DPO or RFT), GPU infrastructure, and model inference and optimization. Strong AI/ML engineering fundamentals and an ability to learn quickly are expected.

Location options are New York, NY; San Mateo, CA; or remote within the USA. The position is full-time, with $176K–$228K base pay, $220K–$285K on-target earnings and meaningful equity. H-1B transfers and TN visas are sponsored; O-1 visas are considered case by case.

Skills for this role

PythonLarge language modelsGenerative AIAI/ML engineeringOpen-source AI modelsModel inferenceModel optimizationvLLMSGLangTensorRT-LLMKubernetesAWSAzureGCPAWS BedrockAmazon SageMakerAzure AI FoundryVertex AILLM fine-tuningSFTDPORFTGPU infrastructureCustomer communicationTechnical architectureProblem-solving

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