AI Field Engineer / Forward Deployed Engineer

New

FireworksAI infrastructure

Remote, USAFull-TimeSenior

Salary$176K–$228K base | $220K–$285K OTE + meaningful equity

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Job Details

Experience: 3–10 years of experience in a client-facing technical or AI/ML engineering role.
Required Skills: PythonKubernetesGenerative AI

Have 3–10 years of experience in a client-facing technical or AI/ML engineering role.
Demonstrate strong Python programming skills.
Have experience building and deploying AI/ML or generative AI applications.
Have experience working with LLMs and/or open-source AI models.
Be able to work directly with customers and communicate technical concepts clearly.
Have experience building POCs and taking solutions toward production.
Demonstrate strong problem-solving skills and the ability to work effectively in ambiguous environments.
Be willing to work hands-on across engineering, customer delivery, and product.
Relevant technical experience may include vLLM, SGLang, TensorRT-LLM, Kubernetes, AWS, Azure, GCP, AWS Bedrock, SageMaker, Azure AI Foundry, GCP Vertex AI, LLM fine-tuning (SFT, DPO, or RFT), GPU infrastructure, and model inference and optimization.

Understand customers’ 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 and engineering teams.
Translate customer requirements into scalable technical solutions.
Troubleshoot AI, infrastructure, and deployment challenges.
Communicate technical architecture and tradeoffs to engineering and executive stakeholders.
Contribute code and product improvements directly to the codebase.
Own projects from initial discovery through production deployment.

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