Full Stack Product Engineer

0 billion on digital transformation by 2027, experts who can build seamless product experiences are in high demand. This role offers a unique chance to work on high-impact projects, leveraging AI and machine learning to drive innovation. Before applying, candidates should be aware that a strong background in backend systems, APIs, and data flows is essential, as well as a passion for AI-driven product development.

## About the Role At Pivotal Health, the Full Stack Product Engineer plays a critical role in developing innovative, AI-driven products that simplify complex reimbursement workflows for healthcare providers. This position is part of the AI/ML Engineering team and involves working closely with cross-functional teams to turn ideas into shipped products. The ideal candidate will have a strong technical judgment and the ability to own product behavior end-to-end.

The role is full stack but leans towards backend systems, requiring expertise in APIs, data flows, and the logic behind great products. It's a high-ambiguity, high-velocity role that demands the ability to shape what is built, how it's built, and the speed at which ideas become valuable product experiences.

## What You Will Do - Build new product experiences from scratch across backend services, APIs, integrations, and frontend workflows.

• Design and implement backend systems that power product logic, orchestration, data access, and AI-enabled workflows.
• Contribute to frontend product development in React-based applications, focusing on areas where product quality depends on tight frontend-backend iteration.
• Work closely with product, design, operations, and AI/ML partners to turn ambiguous ideas into shipped product.
• Prototype quickly and then harden what works into maintainable product systems.
• Build internal and customer-facing workflows that leverage AI, structured data, and software automation to increase efficiency.
• Help define product requirements through direct technical judgment.
• Improve product quality through instrumentation, testing, thoughtful system design, and strong engineering hygiene.
• Use AI actively in your workflow for coding, debugging, investigation, product exploration, and iteration.
• Raise the team's velocity by bringing AI-native working habits, practical engineering judgment, and strong product instincts.

## What We Are Looking For - 5+ years of experience in software development with a focus on full stack or backend engineering.

• Strong proficiency in programming languages such as Java, Python, or similar.
• Experience with AI and machine learning technologies and their application in product development.
• Excellent understanding of data structures, algorithms, and software design patterns.
• Strong background in backend systems, APIs, and data flows.
• Experience with cloud platforms such as AWS or Google Cloud.
• Familiarity with DevOps practices and tools like Docker, Kubernetes.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.

## Nice to Have - Experience with React or similar frontend frameworks.

• Knowledge of healthcare reimbursement processes.
• Experience working in an AI-first environment.
• Certification in cloud computing or machine learning.
• Experience with agile development methodologies.

## Benefits and Perks - Competitive salary range of

- Develop a strong portfolio that showcases your ability to build and deploy AI-driven products, focusing on backend systems and data flows.

• Highlight your experience with machine learning technologies and how you've applied them in previous roles.
• Prepare to talk about your approach to full stack development, including how you handle frontend-backend iteration and optimization.
• Familiarize yourself with the healthcare reimbursement landscape and the challenges faced by providers to understand the context of Pivotal Health's products.
• Be ready to discuss how you incorporate AI into your workflow for coding, debugging, and product exploration.
• Show enthusiasm for working in an AI-first environment and your passion for leveraging AI to drive product innovation.
• Research the company to understand its mission, values, and products to demonstrate your interest and motivation for the role.