3-10+ years of software engineering experience, especially in backend/systems work.
Strong proficiency in Python; TypeScript or JavaScript skills are a plus.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Ability to translate vague requirements into functional production systems.
Excellent communication skills for interaction with technical and non-technical stakeholders.
Strong ownership mindset with independence in dynamic settings.
Experience with AI systems, including LLMs or vector databases, is advantageous.
Responsibilities
Embed with customers to grasp their workflows, constraints, and success metrics.
Design, build, and implement AI-driven solutions for operational challenges.
Develop and sustain production systems, including APIs and integrations.
Translate business needs into technical designs and implementations.
Work in high-stakes circumstances where reliability and speed are critical.
Discover patterns in customer deployments and relay insights for product development.
Collaborate with Product and Engineering teams to shape the roadmap and system architecture.
Manage deployments from scoping to launch and ongoing iterations.
Benefits
Hybrid work model with in-office presence three days a week in San Mateo, CA.
Full Job Description
About The Role
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.
