AI Engineer

Job Summary

The AI Engineer is responsible for building, testing, and deploying AI-powered solutions that address real-world healthcare challenges within our program. The AI Engineer will leverage enterprise AI models to create intelligent applications such as participant context engines, retrieval-augmented generation (RAG) pipelines, and agentic workflows. Staying current with the rapidly evolving AI landscape, the AI Engineer will translate emerging capabilities into production-ready solutions for our business. Collaboration with colleagues and stakeholders is essential to promote our values, team culture, and mission.

Job Responsibilities

• Design, build, and deploy AI-powered applications using enterprise LLMs.
• Translate business requirements into production-ready AI solutions.
• Architect and implement RAG systems that ensure accuracy, relevance, and compliance with healthcare data standards.
• Own the full development lifecycle for new AI use cases from ideation through production deployment.
• Research and build agentic AI workflows using relevant frameworks.
• Architect and deploy AI services within private cloud environments, utilizing secure configurations.
• Evaluate and integrate across the frontier model landscape, selecting the right model for each use case.
• Implement AIOps and MLOps best practices to ensure AI applications are reliable, scalable, and maintainable.
• Continuously evaluate emerging AI tools, techniques, and model releases.
• Proactively recommend new approaches to improve participant outcomes, operational efficiency, or developer productivity.
• Complete all required documentation in a timely and accurate manner.
• Protect privacy and maintain confidentiality of all company procedures and information.
• Follow company policies and participate in required quality improvement activities, staff training, and meetings.
• Communicate regularly with the supervisor and team regarding workload and priorities.
• Complete all mandated trainings and education timely.
• Exercise flexibility in performing assignments as business needs evolve.
• Other duties as assigned.

Required Skills & Experience

• Minimum of three years of hands-on experience in AI/ML engineering or software engineering with a strong AI focus.
• Experience working with people from diverse backgrounds and cultures.
• Demonstrated experience designing and deploying retrieval augmented generation pipelines.
• Proven ability to build applications on top of commercial LLM APIs.
• Advanced proficiency in Python for AI application development.
• Hands-on experience with Azure AI services and Docker-based deployments.
• Proficiency with DevOps for building CI/CD pipelines.
• Solid understanding of agentic architectures and frameworks.
• Experience working in Agile/Scrum environments.
• Excellent organizational and communication skills.
• Ability to work independently with minimal supervision.
• Demonstrated ability to prioritize in a fast-paced environment.
• Commitment to unlocking the full potential of our most vulnerable seniors.

Preferred Skills & Experience

• Familiarity with HIPAA, PHI handling, and healthcare technology compliance requirements.
• Understanding of the PACE model of care and its technological implications.
• Experience benchmarking and comparing LLM providers.
• Secondary cloud experience with AWS AI/ML services.

Education

Required Education: Bachelor's Degree in Computer Science, AI, or Computer Engineering.

Preferred Education: Master's Degree in the above fields.

Schedule

Full-time position, Monday through Friday, 8 am to 5 pm Pacific Standard Time. Must be based in the United States.

Start Date: 06/15/2026

Hours Per Week: 40

Hours Per Day: 8

Days Per Week: 5