Applied AI Product Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, and develop AI-driven features for enhancing patient engagement, care coordination, claims management, and operational efficiency.

• Utilize Claude Code and relevant AI development tools to create, test, troubleshoot, and sustain full-stack software products.

• Collaborate with product managers, designers, engineers, and clinical stakeholders to transform requirements into scalable, user-centric solutions.

• Create APIs, backend services, automation pipelines, and integrate large language models (LLMs).

• Employ software engineering, DevOps, and MLOps methodologies for testing, deployment, monitoring, security, and performance enhancement.

• Assess emerging AI technologies and implementation strategies.

• Assume additional tasks and responsibilities as necessary to support team goals and project success.

⛳️ Requirements

• Bachelor’s degree in Computer Science.

• 1–4 years of experience in software engineering, product engineering, or full-stack application development.

• Proven expertise in using Claude Code to develop functional software products, including feature implementation, code debugging, and result validation.

• Proficiency in programming languages such as Python, TypeScript, JavaScript, or similar.

• Experience in developing frontend components, backend services, and APIs.

• Practical experience in integrating LLMs into applications via APIs, prompt engineering, AI agents, generative AI workflows, or retrieval-augmented generation (RAG).

• Strong analytical and problem-solving abilities, with the capability to evaluate AI-generated code for accuracy, security, maintainability, and test coverage.

• Excellent communication and collaboration skills.

• Ability to work independently, manage ambiguity, and contribute effectively in a remote Agile environment.

• U.S. Citizenship is required.

• All selected candidates must successfully complete a background check.

• Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, if necessary for the position.

• Sponsorship is not provided.

• Additional qualifications include experience with AWS, Azure, or Google Cloud; Docker, Kubernetes, or CI/CD pipelines; Cursor, Codex, OpenAI APIs, Anthropic APIs, vector databases, embeddings, semantic search, or AI orchestration frameworks; deployed AI applications or technology initiatives in healthcare, payer/provider sectors, federal government, or Department of Veterans Affairs.

🏝️ Benefits

• Medical/Dental/Vision.

• 401k with Employer Match.

• PTO + Federal Holidays.

• Corporate Laptop.

• Training Opportunities.

• Remote Opportunity.