Sr Data Engineer- Agentic AI

Job Description Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Sr Data Engineer- Agentic AI for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Job Title: Sr Data Engineer- Agentic AI Job Category: Information Technology Industry: Medical Device Industry Job Location: FULLY REMOTE (all over US) Zip Code: 95014 Top 3/5 Skills: · Agentic AI depth, Orchestration, LangGraph, CAPA · Claude/Anthropic: Claude production expertise · MCP Server, Predictive ML/statistical analytics · Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00 /hr. – $82.00/hr. Job Responsibilities Title: Sr Data Engineer- Agentic AI Location: San Diego, CA 92121 (Remote Role) Duration: 06- Months contract with possible extension Client Domain: Medical device industry Job description: Responsible to support the 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 predictive modeling, clustering, time‑series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals, and failure trends. Manufacturing Data Platforms & Engineering Advanced proficiency with Databricks, Spark, SQL, Delta Lake, and Python to ingest, structure, and analyze large‑scale manufacturing, quality, and post‑market data, supporting downstream analytics and AI systems. Quality, CAPA & Root Cause Analytics Demonstrated ability to correlate complaints, NCRs, CAPAs, and service data with upstream manufacturing signals using data‑driven root cause and investigation approaches. Enterprise & Regulated Systems (SAP‑Centric) Hands‑on experience integrating and analyzing data from SAP Tahiti, Salesforce, TrackWise, and QMS platforms while maintaining traceability, data integrity, and compliance in regulated environments.