

SpanIdea Systems
Senior AI/ML Engineer (AI Automation)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer (AI Automation) in Santa Clara, CA (Hybrid) for over 6 months, offering $120,000 - $180,000 per year. Requires 12+ years in AI/ML, expertise in LLM systems, Python, and MLOps.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
818
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🗓️ - Date
March 6, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Clara, CA 95056
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🧠 - Skills detailed
#Leadership #Scala #Data Engineering #PyTorch #TensorFlow #AI (Artificial Intelligence) #Deep Learning #Model Deployment #Security #Automation #Monitoring #Datasets #Data Pipeline #Deployment #ML (Machine Learning) #Python #DevOps #Compliance
Role description
No C2C or vendor involvement. No sponsorship provided.
Role: Senior AI / ML Engineer (Automation & Agentic AI)
Experience: 10+ yearsLocation: Santa Clara, CA (Hybrid)
Role Overview
We 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
Lead and drive AI-powered automation initiatives for code generation, refactoring, and test automation
Design and implement Agentic AI systems using modern LLM frameworks and orchestration tools
Collaborate with engineering teams to embed AI/ML solutions into existing development and CI/CD workflows
Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data
Apply advanced data engineering and MLOps practices to ensure scalable and reliable AI solutions
Stay current with the latest AI/ML, LLM, and Agentic AI advancements and translate them into practical implementations
Define best practices, architectures, and governance for AI-driven automation
Required Qualifications
12+ years of experience in AI/ML engineering, with a strong data-centric background
Deep expertise in machine learning, deep learning, and LLM-based systems
Hands-on experience with code generation, test automation, or developer productivity tools
Strong understanding of Agentic AI concepts, multi-agent systems, and AI orchestration
Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, etc.)
Experience working with large datasets, data pipelines, and feature engineering
Solid knowledge of MLOps, model deployment, and monitoring in production environments
Ability to work cross-functionally with senior engineering stakeholders
Background in software engineering, DevOps, or CI/CD automation
Experience implementing AI governance, security, and compliance best practices #IT
Job Types: Full-time, Contract
Pay: $120,000.00 - $180,000.00 per year
Benefits:
Employee assistance program
Health insurance
Professional development assistance
Referral program
Experience:
Built LLM agents for code, refactor & test automation: 5 years (Required)
Designed agentic AI for CI/CD test automation at scale apps: 5 years (Required)
AI/ML: 10 years (Required)
Leadership: 3 years (Required)
Work Location: Hybrid remote in Santa Clara, CA 95056
No C2C or vendor involvement. No sponsorship provided.
Role: Senior AI / ML Engineer (Automation & Agentic AI)
Experience: 10+ yearsLocation: Santa Clara, CA (Hybrid)
Role Overview
We 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
Lead and drive AI-powered automation initiatives for code generation, refactoring, and test automation
Design and implement Agentic AI systems using modern LLM frameworks and orchestration tools
Collaborate with engineering teams to embed AI/ML solutions into existing development and CI/CD workflows
Build, train, fine-tune, and evaluate ML and LLM models using structured and unstructured data
Apply advanced data engineering and MLOps practices to ensure scalable and reliable AI solutions
Stay current with the latest AI/ML, LLM, and Agentic AI advancements and translate them into practical implementations
Define best practices, architectures, and governance for AI-driven automation
Required Qualifications
12+ years of experience in AI/ML engineering, with a strong data-centric background
Deep expertise in machine learning, deep learning, and LLM-based systems
Hands-on experience with code generation, test automation, or developer productivity tools
Strong understanding of Agentic AI concepts, multi-agent systems, and AI orchestration
Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch, etc.)
Experience working with large datasets, data pipelines, and feature engineering
Solid knowledge of MLOps, model deployment, and monitoring in production environments
Ability to work cross-functionally with senior engineering stakeholders
Background in software engineering, DevOps, or CI/CD automation
Experience implementing AI governance, security, and compliance best practices #IT
Job Types: Full-time, Contract
Pay: $120,000.00 - $180,000.00 per year
Benefits:
Employee assistance program
Health insurance
Professional development assistance
Referral program
Experience:
Built LLM agents for code, refactor & test automation: 5 years (Required)
Designed agentic AI for CI/CD test automation at scale apps: 5 years (Required)
AI/ML: 10 years (Required)
Leadership: 3 years (Required)
Work Location: Hybrid remote in Santa Clara, CA 95056






