Forward Deployed Engineer

About HappyRobot

HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $150M raised, we power critical operations for global enterprises worldwide.

Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.

Role Overview

We are looking for a versatile and highly skilled Forward Deployed Engineer to join our team. In this role, you will combine strong technical abilities with excellent communication skills, working directly with customers to ensure they maximize the value of HappyRobot’s AI platform. You will be involved in onboarding, implementation, and ongoing support, while also contributing to product development and innovation.

What You’ll Do

• Customer-Facing Engineering – Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.
• Technical Development – Build new features, MVPs, and scalable solutions that directly impact customer outcomes.
• Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.
• AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.
• Integration & APIs – Manage APIs and integrations with third-party systems to ensure seamless functionality for customers.
• Cross-Functional Collaboration – Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.
• Iterative Problem-Solving – Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.
• Project Management – Prioritize and manage multiple projects under tight deadlines while maintaining high-quality results.
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