About the job
About HappyRobot
HappyRobot is pioneering an AI-native operating system tailored for the real economy, seamlessly integrating intelligence with actionable outcomes. Our innovative platform combines real-time insights, specialized AI agents, and an orchestrating intelligence to empower enterprises in managing intricate, mission-critical operations autonomously.
We focus on optimizing supply chain and industrial-scale operations where agility, resilience, and continuous enhancement are paramount—liberating human resources to concentrate on strategic, creative, and high-value tasks.
To delve deeper into our vision, check out our Manifesto. HappyRobot has successfully raised $62 million to date, including a significant $44 million Series B funding round in September 2025, backed by esteemed investors like Y Combinator (YC), Andreessen Horowitz (a16z), and Base10. They share our vision to revolutionize enterprise operations, and we're dedicated to using this investment to build a world-class team of innovators, problem solvers, and passionate developers. If this resonates with you, you belong at HappyRobot.
About the Role
We are seeking a highly skilled Forward Deployed Engineer who excels in both technical development and effective communication with diverse stakeholders.
As a versatile engineer, you will thrive in a dynamic role that merges customer engineering with technical development. You will collaborate closely with our customers from onboarding to ongoing utilization of HappyRobot's AI platform, ensuring they extract maximum value from our solutions.
At HappyRobot, we embrace a non-hierarchical team structure—operating as a collective of builders. We execute, innovate, and take ownership, genuinely caring about our customers' success.
Technical Profile
Proficient in Full-Stack development: React, TypeScript, Node.js.
Deep expertise in Python with practical experience.
Hands-on experience in developing AI/ML applications.
Adept at managing APIs and integrating various third-party systems.
Experience in LLM prompting and tuning for voices and transcription, with a focus on iterative improvement for use cases.
Ability to create new features or develop entire MVPs.

