AI & Data Engineer

The AI & Data Engineer at EVERFORCE LLC will design, build, and maintain scalable data pipelines and ETL/ELT processes, and will develop and operate AI/ML models in production environments. The role also supports integration with enterprise systems and cloud platforms, along with documentation and governance-focused deliverables.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, clean, transform, and integrate structured and unstructured data from enterprise systems and other data sources.
• Develop, train, test, and deploy machine learning and artificial intelligence models, including integration of large language models (LLMs) where applicable. Support prompt engineering and retrieval-augmented generation (RAG) pipelines as needed.
• Integrate AI/ML models and data pipelines with enterprise applications, APIs, and cloud-based platforms.
• Monitor, troubleshoot, and optimize performance, quality, and reliability of data pipelines and models. Include data validation and resolution of data or model issues.
• Maintain documentation, metadata, and data lineage to support governance, transparency, and auditability.
• Collaborate with IT, data science, and business teams to gather requirements, refine solutions, and support ongoing AI and data initiatives.

Technologies

• ETL/ELT
• Machine learning
• Artificial intelligence
• Large language models (LLMs)
• Prompt engineering
• Retrieval-augmented generation (RAG)
• APIs
• Cloud-based platforms

Deliverables

• Documented, production-ready data pipelines and ETL/ELT jobs, including source-to-target mapping and data quality checks.
• Trained, validated, and deployed AI/ML models (or model enhancements), along with relevant performance and evaluation metrics.
• Integrations connecting AI/ML models and data pipelines to enterprise systems, applications, and/or cloud platforms.
• Dashboards, reports, or monitoring tools to track data quality, pipeline health, and/or model performance.
• Technical documentation covering data pipeline architecture, data lineage, model design, and deployment processes.
• Periodic status updates and knowledge-transfer materials for IT and business teams.

Location and Compensation

Location: Santa Clara, CA (onsite)

Salary: USD 110,000 - 150,000 per year

Experience

Minimum experience: 2 years