Historical snapshotmid (2–5 yrs)Captured Oct 5, 2026, 11:03 a.m.

AI Full Stack Engineer

Wanpanel

Location
Los Angeles, United States · Onsite
Compensation
$55k – $70k
Employment
Full-time
Experience level
MID (2–5 years exp)
Specialization
Software Engineer, Wellfound
Source
Wellfound

AI Full Stack Engineer About the Role We are a company focused on healthcare services, healthcare operations, and the practical application of technology and AI in healthcare. We are looking for an AI Fullstack Engineer to help build software products that bring artificial intelligence into real healthcare and operational workflows. You will help build end-to-end AI-enabled products involving complex information processing, document generation and review, structured outputs, workflow automation, internal operational tools, and systems that help healthcare professionals work more efficiently and accurately. We are looking for someone who can independently solve problems, translate ambiguous business needs into practical software features, and work closely with product, operations, and healthcare professionals.

What You Will Do Build and maintain end-to-end fullstack product features across frontend interfaces, backend APIs, databases, and business logic Integrate AI / LLM capabilities into real workflows, including prompts, structured outputs, validation, error handling, and human-review workflows Contribute to document processing, data workflows, internal tools, and workflow automation Work closely with product, operations, and healthcare professionals to understand real business needs and continuously improve product quality, reliability, and usability

Qualifications Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field Software development or fullstack development experience over 3 years Strong proficiency in TypeScript / JavaScript Experience with React or a similar modern frontend framework Experience working with APIs, backend services, databases, and basic system design Familiarity with SQL / PostgreSQL or similar relational databases Proficiency in at least one backend or general-purpose programming language; Python experience is preferred Experience building end-to-end product features rather than only isolated frontend components Strong problem-solving, communication, and independent execution skills Ability to work with complex or ambiguous real-world requirements

AI / LLM Experience Experience with any of the following is preferred: LLM API integration Prompt engineering / prompt workflows Structured outputs JSON schema or similar output constraints AI output parsing and validation Tool calling Error handling, retry, and fallback logic AI-assisted workflows AI output evaluation We care more about whether you have applied AI to real products and workflows than whether you have only built a simple chatbot or demo.

Preferred Qualifications Experience in any of the following is helpful, but not required: Supabase, Firebase, or similar backend-as-a-service platforms SQL / PostgreSQL, serverless functions, or cloud backends AWS or other cloud platforms AI, machine learning, NLP, or data-processing workflows Document processing, PDF / DOCX, rich text, or review workflows Healthcare software, EHR / EMR systems, or healthcare operations Internal tools, workflow software, or enterprise applications Authentication, permissions, privacy, or security-related development Experience working with distributed or cross-regional teams, including teams across the U.S. and China

Working Style You should be comfortable moving between product thinking and technical implementation. When requirements are incomplete or ambiguous, you should be able to understand the underlying problem, break it into technical components, and move development forward without waiting for a fully detailed specification. You will work closely with product, operations, engineering, and healthcare professionals and improve the product based on real user feedback.

Location and Work Arrangement Location: San Gabriel Valley, California Work arrangement: Full-time, on-site / in-office This position is not fully remote. Candidates must be able to work regularly from our San Gabriel Valley office.

Employment Details Full-time On-site / In-office San Gabriel Valley, California Visa sponsorship: Not available Relocation candidates may be considered

Compensation $20–$30 per hour Final compensation will depend on relevant experience, technical skills, and overall fit for the role.

What We Offer Opportunity to build AI software used in real healthcare workflows Direct collaboration with product, operations, and healthcare professionals Hands-on experience across AI, fullstack development, and workflow automation Stable, long-term employment Opportunities for growth and broader technical and product ownership Comprehensive benefits