Applied AI Product Engineer

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

📋 Description

• Design, develop, and implement AI-driven features across healthcare product platforms and operational systems.

• Create full-stack applications utilizing contemporary AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.

• Collaborate with product managers, designers, engineers, and clinical stakeholders to provide scalable, user-centered solutions that enhance patient engagement, care coordination, and operational efficiency.

• Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product functionalities and production-ready deployments.

• Utilize software engineering, DevOps, and MLOps best practices in testing, deployment, monitoring, and optimization of AI solutions.

• Investigate emerging AI technologies, LLM implementation strategies, and modern product engineering frameworks to consistently enhance platform capabilities.

• Manage uncertainty, address complex technical challenges, and collaborate effectively across both technical and non-technical teams in a dynamic Agile setting.

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

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.

• Over 2 years of professional experience in software engineering, product engineering, or full-stack application development.

• Practical experience delivering at least 2–3 production-level AI projects utilizing tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.

• Proficient programming skills in Python, TypeScript, JavaScript, or other modern development languages, with experience in building and deploying production-grade full-stack applications.

• Experience in integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies like Docker and Kubernetes.

• Excellent communication, collaboration, analytical, and problem-solving abilities, with the capacity to work independently in a remote Agile environment.

• Additional qualifications: Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.

• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.

• Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.

• Experience in supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.

• Ability to obtain a government clearance is a plus.

🏝️ Benefits

• Medical/Dental/Vision.

• 401k with Employer Match.

• PTO + Federal Holidays.

• Corporate Laptop.

• Training opportunities.

• Remote Opportunity.