AI Data Engineer

About this role

Only on W2 - No C2C

Contract Duration: 06 Months Contract

• Remote Hours PST only
• Education Master's Data Engr or Computer Science

Technical Skills

Must Have

• AI Engineering
• Anthropic Claude AI
• MCP Server Customization
• Microsoft Azure Databricks
• SalesForce
• SAP Tahiti
• Trackwise

Nice To Have

• Microsoft Power Business Intelligence (BI)
• Speech to Text tools
• Text to Speech Tools

Job Description

Responsibilities:

• Responsible to support the client AI-powered data analytics platform. This individual will contribute to advance data engineering pipelines, AI agent development, and cross-functional quality analytics across different areas of the business such as quality, product engineering, reliability, field service and business strategy.

Agentic AI for Manufacturing Intelligence

• Deep expertise designing and deploying agentic AI systems using agentic frameworks and orchestrators to reason across manufacturing, quality, and post‐market data, execute multi‐step analysis, self‐correct, and drive decisions with limited human intervention.

Production LLM Expertise (Claude ‐ Based)

• Production‐grade experience using Claude LLMs within orchestrated agent workflows, including prompt management, tool calling, structured outputs, guardrails, and audit‐ready logging.

Unstructured → Structured Manufacturing Data Transformation

• Strong expertise building AI‐driven data pipelines that transform unstructured medical device data (complaints, CAPAs, investigations, service notes, SOPs, PDFs, emails) into structured, analytics‐ and review‐ready datasets.

AI ‐ Driven Quality & Failure Data Extraction

• Experience developing orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies.

Core ML & Statistical Analysis for Manufacturing

• Solid foundation in predict...