Forward Deployed Engineer

As a Forward Deployed Engineer , you will sit at the intersection of engineering, product, and customer delivery. You’ll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact. This is a highly autonomous, hands-on role for someone who thrives in ambiguous environments, enjoys working directly with customers, and wants to shape product direction through what they see in the field. You’ll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate. This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California. What You’ll Do Embed directly with customers to understand their workflows, constraints, and success criteria Design, build, and deploy AI-driven solutions tailored to real operational problems Build and maintain production systems including APIs, integrations, monitoring, and feedback loops Translate business requirements and customer needs into technical architectures and implementations Operate in high-stakes environments where reliability, speed, and judgment matter Identify patterns across customer deployments and feed insights back into core product and platform development Partner closely with Product and Engineering to influence roadmap, abstractions, and long-term system design Own deployments end-to-end, from initial scoping through launch and iteration What We’re Looking For 3-10+ years of software engineering experience, ideally as an FDE or in backend / systems-focused work. Strong proficiency in Python (TypeScript / JavaScript experience is a plus). Experience working with cloud infrastructure (AWS, GCP, or Azure). Ability to translate ambiguous requirements into working, production-ready systems. Strong communication skills and comfort working with both technical and non-technical stakeholders. High ownership mindset with the ability to operate independently in fast-changing environments. Experience with AI systems (LLMs, vector databases, prompt engineering, or agent frameworks) is a strong plus.