AI Engineer Job Covina area,California USA,Software Development

Job Title: AI Engineer

Job Location:

Covina, CA
Job Duration: 7 Months (possibility of extension)
Payrate: $70.00/ hr. on w2

Job Summary:

The AI Engineer is responsible for building, testing, and deploying AI-powered solutions that address real-world healthcare challenges within our PACE (Program of All-Inclusive Care for the Elderly) program.
The AI Engineer will leverage enterprise AI models to not build or fine-tune them to create intelligent applications such as participant context engines, retrieval-augmented generation (RAG) pipelines, and agentic workflows.
The AI Engineer will stay current with the rapidly evolving AI landscape and translate emerging capabilities into production-ready solutions for our business.
The AI Engineer collaborates effectively with colleagues and stakeholders to promote client values, team culture, and mission.

Job Responsibilities :
Enterprise AI Application Development:

Design, build, and deploy AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini).
Translate PACE business requirements such as building rich participant context into production-ready AI solutions.

RAG Pipeline Engineering:

Architect and implement retrieval-augmented generation (RAG) systems that ground AI responses in client's proprietary data, ensuring accuracy, relevance, and compliance with healthcare data standards.

Hands-On Prototyping & Delivery:

Own the full development lifecycle for new AI use cases from ideation and rapid POC development through validation, iteration, and production deployment.

Agentic Framework Development:

Research and build agentic AI workflows (using frameworks such as Lang Graph, Lang Chain, or Copilot Studio) that evolve our systems toward autonomous, goal-oriented agents capable of handling complex multi-step healthcare processes.

Secure Cloud Deployment:

Architect and deploy AI services within private cloud environments (primarily Azure; AWS as needed), utilizing Docker containers, private endpoints, managed identities, and secure VNET configurations.

Multi-Model Orchestration:

Evaluate and integrate across the frontier model landscape, selecting the right model for each use case based on performance, cost, latency, and compliance requirements.

Operational Excellence:

Implement AIOps and MLOps best practices monitoring, versioning, automated testing, and CI/CD pipelines to ensure all AI applications are reliable, scalable, and maintainable.

Technology Scouting:

Continuously evaluate emerging AI tools, techniques, and model releases.
Proactively recommend new approaches that can improve participant outcomes,
operational efficiency, or developer productivity.
Must be willing and have the ability to work a varied schedule that may include evening nights, weekends and overtime.
Complete all required documentation in a timely and accurate manner.
Protect privacy and maintain confidentiality of all company procedures and information about team members, participants, and families.
Follow client policies and procedures and participate in any required Quality Improvement activities, staff training and meetings.
Communicate regularly with Supervisor and team regarding workload and priorities.
Timely completion of all mandated trainings and education.
Timely completion of all mandated occupational health screenings as needed.
Exercises flexibility in performing assignments as business needs evolve.
Other duties as assigned.

Required Education:

Preferred Education:

Required Skills & Experience:

Minimum of three (3) years of hands-on experience in AI/ML engineering, applied AI development, or software engineering with a strong AI focus.
Experience and competency working with people from diverse backgrounds and cultures.
RAG & Retrieval Systems:
- Demonstrated experience designing and deploying retrieval augmented generation pipelines, including vector databases, embedding strategies, chunking optimization, and retrieval evaluation.
Enterprise LLM Integration:
- Proven ability to build applications on top of commercial LLM APIs (OpenAI, Anthropic, Google) including prompt…