AI Field Engineer Forward Deployed Engineer (FDE)

Location: New York NY / San Mateo CA / Remote USA
Employment Type: Full-time
Experience: 310 years
Compensation: $176K$228K base $220K$285K OTE meaningful equity
Visa: H-1B transfers and TN visas sponsored; O-1 considered case-by-case

Were hiring an AI Field Engineer / Forward Deployed Engineer (FDE) to join our AIs high-velocity team

Youll 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 AI engineering product and customer delivery.

Youll build POCs MVPs and production integrations while working directly with customers account executives and engineering teams. Youll also engage with technical and executive stakeholders to discuss architecture strategy and business outcomes.

This is not a traditional consulting or solutions role youll be hands-on-keyboard writing code deploying systems solving technical problems and contributing directly to our products and platform.

• 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 both engineers and executive stakeholders.

• Contribute code and product improvements directly to the codebase.

• Turn customer learnings into product feedback and help shape our roadmap.

• Take ownership of projects from initial discovery through production deployment.

Were looking for engineers who combine strong technical depth with excellent customer-facing skills.

You may come from backgrounds such as:

• Forward Deployed Engineer

• AI/ML Engineer

• Applied AI Engineer

• AI Solutions Engineer

• Solutions Architect

• Sales Engineer

• Customer Engineer

• ML/AI Infrastructure Engineer

• Customer Success Engineer with strong technical depth

• 310 years of experience in a client-facing technical or AI/ML engineering role.

• 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 work directly with customers and communicate technical concepts clearly.

• Experience building POCs and taking solutions toward production.

• Strong problem-solving skills and the ability to operate effectively in ambiguous environments.

• Willingness to work hands-on across engineering customer delivery and product.

Experience with some of the following is highly relevant:

• Python

• vLLM

• SGLang

• TensorRT-LLM

• Kubernetes

• AWS Azure or GCP

• AWS Bedrock / SageMaker

• Azure AI Foundry

• GCP Vertex AI

• LLM fine-tuning including SFT DPO or RFT

• GPU infrastructure

• Model inference and optimization

You do not need experience with every technology listed but you should have strong fundamentals in AI/ML engineering and be comfortable learning quickly.

• Work directly with cutting-edge AI companies.

• Build real AI systems that move from prototype to production.

• Work across engineering product and customer delivery.

• Contribute directly to an AI infrastructure platform.

• Join a highly technical builder-first team.

• Competitive compensation of $220K$285K OTE meaningful equity.

• US visa support including H-1B transfers and TN visas.