Forward Deployed AI Engineer

Role overview

Join webAI as a Forward Deployed AI Engineer. You will integrate and deploy AI systems into enterprise production environments, working directly with customers to ensure systems perform reliably at scale.

Key missions

• Collaborate with customers to define, deploy, and maintain AI solutions in production.
• Debug and optimize data pipelines and AI systems running on customer networks.
• Act as a trusted technical advisor for enterprise clients and represent the engineering team externally.

Responsibilities

• Deploy and maintain machine learning/AI systems in production.
• Translate vague requirements into actionable delivery plans.
• Diagnose issues across data pipelines, model inference, and hardware interactions.
• Advise on privacy-preserving AI and secure compute needs.

Requirements

• Proven track record deploying and maintaining ML/AI systems in production.
• Strong communication skills; can challenge vague requirements and drive clarity.
• Expertise in MLX and/or PyTorch.
• Experience debugging complex systems involving data pipelines, model inference, and hardware interaction.
• Comfortable working in dynamic environments with high customer exposure.
• 5+ years combined experience in software engineering and machine learning.
• Master’s degree in a relevant technical discipline.
• Knowledge of privacy-preserving AI and secure compute environments.

Nice to have

• Prior customer-facing engineering experience.
• Familiarity with distributed systems, DevOps tooling, and performance tuning.
• Experience deploying models on edge devices or consumer hardware.