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AI Engineer

Integrated Resources, Inc

Covina, CA

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JOB DETAILS
SKILLS
Aged Care, Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Benchmarking, Best Practices, Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Construction, Continuous Deployment/Delivery, Continuous Integration, Data Management, DevOps, Diversity, Docker, Documentation, Establish Priorities, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Identity Data Management, Kernel Programming, Microsoft Windows Azure, Occupational Health, Organizational Skills, Privacy Controls, Product Lifecycle, Prototyping, Python Programming/Scripting Language, Quality Management, Regulatory Compliance, Scrum Project Management and Software Development, Shallow Parsing, Software Development, Software Engineering, Staff Training, Test Automation, Testing, Time Management, Use Cases
LOCATION
Covina, CA
POSTED
7 days ago
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 LangGraph, LangChain, 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:
  • Bachelor’s Degree required in Computer Science, AI, or Computer Engineering.
Preferred Education:
  • Master’s Degree in the above.
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 engineering, structured output handling, function/tool calling, and context window management.
  • Python:
    • Advanced proficiency in Python for AI application development, API integration, and data pipeline construction.
  • Cloud & Containerization:
    • Hands-on experience with Azure AI services (AI Foundry, Managed Identities, Key Vault, private networking) and Docker-based deployments in secure cloud environments.
  • DevOps & CI/CD:
    • Proficiency with Azure DevOps (or equivalent) for building CI/CD pipelines that automate testing and deployment of AI applications.
  • Agentic AI Patterns:
    • Solid understanding of agentic architectures and frameworks such as LangChain, LangGraph, Semantic Kernel, or Copilot Studio.
  • Agile Delivery:
    • Experience working in Agile/Scrum environments with iterative development cycles and rapid POC delivery.
  • 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:
  • Healthcare Domain:
    • Familiarity with HIPAA, PHI handling, and the compliance requirements unique to healthcare technology.
  • PACE Program Knowledge:
    • Understanding of the PACE model of care and how technology can improve participant outcomes and operational workflows.
  • Model Evaluation:
    • Experience benchmarking and comparing LLM providers across dimensions such as accuracy, cost, latency, and safety.
  • AWS:
    • Secondary cloud experience with AWS AI/ML services.

About the Company

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Integrated Resources, Inc

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