AI Solution Engineer/FDE

Feufo • San Francisco, CA

6d

About The Position

We’re hiring AI Solution Engineers / Forward Deployed Engineers to work closely with customers and internal teams to deploy, customize, and scale AI-powered products. This role sits at the intersection of engineering, product, and customer success , translating real-world problems into robust AI solutions. You’ll work directly with enterprise and mid-market customers , integrating AI systems into their workflows, owning deployments end to end, and feeding insights back into product and research teams. What You’ll Do Work with customers to understand use cases, data, and workflows Design and implement end-to-end AI solutions using LLMs, ML models, and APIs Build and customize integrations, pipelines, and tooling around AI products Deploy and optimize AI systems in customer environments (cloud/on-prem) Troubleshoot model behavior, performance, latency, and reliability issues Partner with Product, Research, and Sales to shape roadmap and demos Turn ambiguous customer needs into scalable, repeatable solutions What We’re Looking For Strong software engineering background (Backend / Full-stack / ML) Experience working with LLMs, ML models, or AI APIs in production Comfortable with Python (and/or TypeScript, Java, Go) Experience building APIs, data pipelines, and integrations Ability to operate in customer-facing environments Strong communication skills—can explain technical concepts clearly Bias toward execution in fast-moving, ambiguous environments Nice to Have Experience as a Forward Deployed Engineer, Solutions Engineer, or ML Engineer Experience with cloud platforms (AWS, GCP, Azure) Exposure to RAG, vector databases, fine-tuning, or inference optimization Background in B2B SaaS, enterprise software, or early-stage startups Who Thrives in This Role Engineers who enjoy owning problems end to end Builders who like working close to customers People who want impact beyond just writing code Engineers excited about deploying AI in the real world

Requirements

• Strong software engineering background (Backend / Full-stack / ML)
• Experience working with LLMs, ML models, or AI APIs in production
• Comfortable with Python (and/or TypeScript, Java, Go)
• Experience building APIs, data pipelines, and integrations
• Ability to operate in customer-facing environments
• Strong communication skills—can explain technical concepts clearly
• Bias toward execution in fast-moving, ambiguous environments

Nice To Haves

• Experience as a Forward Deployed Engineer, Solutions Engineer, or ML Engineer
• Experience with cloud platforms (AWS, GCP, Azure)
• Exposure to RAG, vector databases, fine-tuning, or inference optimization
• Background in B2B SaaS, enterprise software, or early-stage startups

Responsibilities

• Work with customers to understand use cases, data, and workflows
• Design and implement end-to-end AI solutions using LLMs, ML models, and APIs
• Build and customize integrations, pipelines, and tooling around AI products
• Deploy and optimize AI systems in customer environments (cloud/on-prem)
• Troubleshoot model behavior, performance, latency, and reliability issues
• Partner with Product, Research, and Sales to shape roadmap and demos
• Turn ambiguous customer needs into scalable, repeatable solutions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed