AI Engineer / Job Requisition 1023714309

Hybrid role: applicants must be a California resident as of their first day of employment.

About the role

We are seeking an experienced AI Engineer to design, build, and operate production-grade generative AI systems. You will work across retrieval-augmented generation (RAG), agentic workflows, unstructured data processing, and AI-powered automation, partnering closely with product, data, and application teams to deliver real business impact. This role sits at the intersection of AI systems engineering and applied product development, with a strong emphasis on scalability, reliability, and measurable outcomes.

Responsibilities

• Strategize and define the roadmap for AI-driven solutions across the organization.
• Lead technical discussions to translate business requirements into scalable AI architectures and system designs.
• Collaborate with cross-functional partners to integrate AI solutions into existing business workflows and decision-making processes.
• Evaluate and select appropriate AI/ML technologies, platforms, and frameworks to meet specific business needs.
• Drive best practices in AI solution development and engineering.
• Translate existing business challenges into AI-powered solutions in collaboration with stakeholders.
• Design and implement embedding pipelines, vector indexes, and retrieval strategies for intelligent search and recommendation systems.
• Build and maintain scalable, secure APIs and microservices that expose AI capabilities to internal and external applications.
• Partner with application teams to:
  • Improve retrieval accuracy through prompt engineering and grounding.
  • Optimize token usage and inference costs.
  • Enhance observability and evaluation pipelines.
  • Integrate real-time and virtualized data sources into AI workflows in collaboration with data engineering teams.
• Monitor and refine models and pipelines to ensure accuracy, performance, reliability, and explainability.
• Lead AI initiatives from ideation through production, ensuring alignment with business goals.
• Design, develop, and operationalize Generative AI solutions leveraging Large Language Models (LLMs), including evaluation, Retrieval-Augmented Generation (RAG), fine-tuning, and model observability.
• Apply Generative AI capabilities to enterprise business intelligence use cases, enabling advanced analytics and decision support.
• Build and maintain scalable data solutions aligned with data engineering and data warehousing best practices.
• Design, develop, and support production-grade distributed systems to ensure reliability, scalability, and performance.
• Develop and maintain data pipelines and applications using Python, SQL, and strong software engineering principles.
• Work with relational databases and modern data platforms to support analytical and operational workloads.
• Design and implement embedding-based search solutions, including integration with vector databases.
• Leverage cloud platforms (preferably Azure; AWS/GCP acceptable) to build and deploy data and AI solutions.
• Develop and maintain dashboards and reporting solutions using business intelligence tools.
• Drive end-to-end project execution from concept through delivery in fast-paced and evolving environments.
• Operate effectively under ambiguity, demonstrating strong ownership, accountability, and problem-solving skills.
• Collaborate cross-functionally with technical and business stakeholders to deliver impactful solutions.
• Continuously evaluate and adopt emerging technologies within the rapidly evolving AI/ML landscape.

Requirements

• Bachelor's degree or equivalent work experience.
• 4+ years of experience in AI/ML engineering, data engineering, or backend software engineering.
• Experience working with unstructured data at scale.
• Hands-on experience with LangChain, LlamaIndex, Langflow, n8n, or similar orchestration tools.
• Knowledge of Docker and Kubernetes.
• Familiarity with data pipelines and ETL patterns.
• Experience leading technical strategy and architectural decisions for data-intensive applications.
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders.
• Familiarity with healthcare concepts and regulatory considerations (preferred).

Physical Requirements

• Constant and close visual work at desk or computer.
• Constant sitting and working at desk.
• Constant data entry using keyboard and/or mouse.
• Frequent use of telephone headset.
• Constant verbal and written communication with staff and other business associates by telephone, correspondence, or in person.
• Frequent lifting of folders and other objects weighing between 0 and 30 lbs.
• Frequent walking and standing.

Pay

Salary Range: $142,043.20 - $213,075.20 annually.