Happyrobot Inc.

Build and deploy real-time machine learning systems that power human-like conversations across speech, language, and enterprise operations. As one of HappyRobot’s first ML hires, you will own the full ML lifecycle and help shape the company’s AI infrastructure.

HappyRobot is seeking a Forward Deployed Engineer to help enterprise customers implement, optimize, and expand AI-powered workflows. The role combines customer-facing technical delivery with full-stack development and AI/ML application work, with 50%–75% travel.

Own HappyRobot’s cloud security posture across AWS, Azure, and GCP, from Wiz finding remediation to Terraform guardrails and Kubernetes hardening. This hands-on role combines multi-cloud security engineering with operational ownership and cross-team remediation leadership.

Build HappyRobot’s security monitoring foundation through high-signal detection engineering, cloud and identity log pipelines, incident triage, and automation. This hands-on SOC engineering role will shape the company’s future in-house or hybrid SOC model.

Join HappyRobot’s founding France team as a customer-facing engineer building and deploying AI solutions for enterprise customers. You’ll combine full-stack development, AI/ML application work, integrations, and hands-on customer partnership.

Build and deploy customer-focused full-stack and AI solutions with HappyRobot, helping enterprises integrate and optimize autonomous AI workforces. This hands-on role spans onboarding, implementation, product development, integrations, and ongoing customer success.

Join HappyRobot’s founding France team as a French-speaking Forward Deployed Engineer, combining customer-facing implementation with full-stack development and AI application work. You’ll own integrations, build tailored solutions, and help enterprise customers get measurable value from the platform.

Join HappyRobot as a Forward Deployed Engineer building and implementing full-stack AI solutions directly with enterprise customers. You’ll combine React, TypeScript, Node.js, Python, integrations, and LLM application work to deliver measurable customer outcomes.