Qureos Mentor

Spanidea Systems

No C2C or vendor involvement. No sponsorship provided.Role: Senior AI / ML Engineer (Automation &amp; Agentic AI)Experience: 10+ years Location: Santa Clara, CA (Hybrid)Role OverviewWe are looking for a highly experienced AI / ML Engineer with a strong data engineering and applied AI background to lead automation initiatives across code generation and test automation. This role will work closely with core engineering teams to design, build, and scale AI-driven and agentic automation solutions that improve developer productivity and software quality.Key Responsibilities<ul><li>Lead and drive AI-powered automation initiatives for code generation, refactoring, and test automation</li><li>Design and implement Agentic AI systems using modern LLM frameworks and orchestration tools</li><li>Collaborate with engineering teams to embed AI/ML solutions into existing development and CI/CD workflows</li><li>Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data</li><li>Apply advanced data engineering and MLOps practices to ensure scalable and reliable AI solutions</li><li>Stay current with the latest AI/ML, LLM, and Agentic AI advancements and translate them into practical implementations</li><li>Define best practices, architectures, and governance for AI-driven automation</li></ul>Required Qualifications<ul><li>12+ years of experience in AI/ML engineering, with a strong data-centric background</li><li>Deep expertise in machine learning, deep learning, and LLM-based systems</li><li>Hands-on experience with code generation, test automation, or developer productivity tools</li><li>Strong understanding of Agentic AI concepts, multi-agent systems, and AI orchestration</li><li>Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience working with large datasets, data pipelines, and feature engineering</li><li>Solid knowledge of MLOps, model deployment, and monitoring in production environments</li><li>Ability to work cross-functionally with senior engineering stakeholders</li><li>Background in software engineering, DevOps, or CI/CD automation</li><li>Experience implementing AI governance, security, and compliance best practices #IT</li></ul>Job Types: Full-time, ContractPay: $120,000.00 - $200,000.00 per yearBenefits:<ul><li>Employee assistance program</li><li>Health insurance</li><li>Professional development assistance</li><li>Referral program</li></ul>Experience:<ul><li>Built LLM agents for code, refactor &amp; test automation: 5 years (Required)</li><li>Designed agentic AI for CI/CD test automation at scale apps: 5 years (Required)</li><li>AI/ML: 10 years (Required)</li><li>Leadership: 3 years (Required)</li></ul>Work Location: Hybrid remote in San Jose, CA 95110

AI/ML Architect - Agentic AI/Gen AI

Note: Only direct candidates will be considered&mdash;no C2C or third-party vendors. Candidates must come from a semiconductor background and must not require any sponsorship.Role SummaryThe Data Engineer will build and optimize scalable data pipelines to support supplier automation, manufacturing data integration, and analytics enablement within Snowflake environments.Key Responsibilities<ul><li>Develop and maintain ETL/ELT data pipelines</li><li>Integrate supplier and manufacturing datasets into Snowflake</li><li>Utilize Spark for large-scale data transformation</li><li>Support Exensio and PDF-based data extraction workflows</li><li>Enable datasets for yield analytics and DFM reporting</li><li>Ensure data quality, integrity, and performance</li><li>Collaborate with Architects and AI/ML Engineers</li></ul>*Required Experience &amp; Skills<ul><li>8+ years of data engineering experience</li><li>Semiconductor or manufacturing domain experience</li><li>Strong Snowflake expertise</li><li>Experience with Apache Spark</li><li>Proven experience building data pipelines</li><li>Knowledge of Exensio / PDF-based processing</li><li>Understanding of Yield analytics and DFM data #IT</li></ul>Job Types: Full-time, ContractPay: $65.00 - $80.00 per hourBenefits:<ul><li>Employee assistance program</li><li>Health insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Referral program</li></ul>Experience:<ul><li>Data Engineering: 10 years (Required)</li><li>Semiconductor Domain: 2 years (Required)</li><li>Exensio / PDF-based processing: 2 years (Required)</li><li>Strong Snowflake expertise: 5 years (Required)</li></ul>Work Location: In person

Senior Data Engineer – Semiconductor Domain

Join Spanidea Systems and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Spanidea Systems

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AI/ML Architect - Agentic AI/Gen AI

Senior Data Engineer – Semiconductor Domain