AI Engineer / Job Requisition 1023714309

Alameda Alliance for Health; Alameda (CA); Hybrid; USD 142,000 - 213,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

Alameda Alliance for Health is seeking an experienced AI Engineer to design, build, and operate production-grade generative AI systems, spanning RAG, agentic workflows, unstructured data processing, and AI-powered automation. You will partner with product, data, and application teams to deliver measurable business impact in a healthcare setting.

The role emphasizes scalable architectures, reliability, and observability, with embedding pipelines, vector indexes, and secure APIs.

Qualifications

• Bachelor’s degree or equivalent work experience required.
• 4+ years of experience in AI/ML engineering, data engineering, or backend software engineering
• Experience working with unstructured data at scale
• Hands-on with LangChain, LlamaIndex, Langflow, n8n or similar orchestration tools
• Knowledge of Docker and Kubernetes
• Familiarity with data pipelines and ETL patterns
• Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders. 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.

Responsibilities

• Design, build, and operate production-grade Generative AI systems across RAG and agentic workflows.
• Translate business requirements into scalable AI architectures and system designs.
• Collaborate with cross-functional partners to integrate AI into existing workflows.
• Evaluate AI/ML technologies and platforms to meet business needs.
• Drive best practices in AI solution development and engineering.
• Design embedding pipelines, vector indexes, and retrieval strategies for intelligent search.
• Build scalable APIs and microservices exposing AI capabilities.
• Improve retrieval accuracy with 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.

Skills

Unstructured data

LangChain

LlamaIndex

Langflow

n8n

Docker

Kubernetes

ETL patterns

AI/ML engineering

Communication

Education

Bachelor’s degree or equivalent

Tools

LangChain

LlamaIndex

Langflow

n8n

Job description

Brief Description

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

PRINCIPAL RESPONSIBILITIES:

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.

• 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
• Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI, or similar)
• 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
• Collaborate with business and technical stakeholders to translate existing challenges into AI-powered solutions
• 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

Essential Functions Of The Job

• 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.
• Domain knowledge including 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

Number of Employees Directly Supervised:

0

Number of Employees Indirectly Supervised:

0

MINIMUM QUALIFICATIONS: EDUCATION OR TRAINING EQUIVALENT TO:

• Bachelor’s degree or equivalent work experience required.

MINIMUM YEARS OF ADDITIONAL RELATED EXPERIENCE:

• 4+ years of experience in AI/ML engineering, data engineering, or backend software engineering

SPECIAL QUALIFICATIONS (SKILLS, ABILITIES, LICENSE):

• Experience working with unstructured data at scale
• Hands-on 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. 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 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.

Salary Range:

$142,043.20 – $213,075.20 Annually

The Alliance is an equal opportunity employer and makes all employment decisions on the basis of merit and business necessity. We strive to have the best-qualified person in every job. The Alliance prohibits unlawful discrimination against any employee or applicant for employment based on race, color, religious creed, sex, gender, transgender status, age, sexual orientation, national origin, ethnicity, citizenship, ancestry, religion, marital status, familial status, status as a victim of domestic violence, assault or stalking, military service/veteran status, physical or mental disability, genetic information, medical condition, employees requesting accommodation of a disability or religious belief, political affiliation or activities, or any other status protected by federal, state, or local laws.