Mindlance

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of 18 months, offering a pay rate of "unknown." It requires proficiency in Python, PySpark, TensorFlow, and experience in financial services. A Master's degree and 7+ years in Quantitative Analytics are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date
June 10, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Concord, CA
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🧠 - Skills detailed
#PySpark #TensorFlow #GCP (Google Cloud Platform) #Cloud #Statistics #Compliance #Computer Science #Model Deployment #PyTorch #Langchain #Python #Mathematics #Spark (Apache Spark) #ML (Machine Learning) #Data Science #Deployment #Deep Learning #AI (Artificial Intelligence) #Monitoring
Role description
Title: AI Engineer Location: San Francisco , IA Irving TX, Phoenix, Charlotte (Hybrid, 3 Days Onsite in office, 2 days remote) Duration: 18 months, possibility to extend or convert Job Summary We are seeking a highly experienced GenAI Engineer to design, build, and deploy enterprise-scale AI agents and agentic workflows using Google's AI ecosystem. Senior GenAI / Agentic AI Engineer who has built and deployed production-grade AI agents at enterprise scale. Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Vertex AI, Google ADK, MCP , Langchain , Langraph. Strong background in GenAI, Agentic workflow, machine learning, deep learning, and statistical analysis evidenced by successful deployment at scale Experience in the financial services industry, Commercial Banking a plus Familiarity with regulatory and compliance considerations in GenAI/AI model deployment Required Qualifications: β€’ 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education β€’ Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: β€’ Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Vertex AI, Google ADK, MCP. β€’ Strong background in GenAI, Agentic workflow, machine learning, deep learning, and statistical analysis evidenced by successful deployment at scale β€’ Experience in the financial services industry, Commercial Banking a plus β€’ Familiarity with regulatory and compliance considerations in GenAI/AI model deployment β€’ Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders β€’ Strong full stack data science skills, hands on experience with ADK, MCP, A2A, O2A. LLM evaluation framework, design and develop LLM guardrails, assertions, controls, and performance monitoring Location: β€’ Charlotte, NC β€’ Dallas, TX β€’ Phoenix/Chandler, AZ β€’ San Francisco Bay Area, CA EEO: β€œMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”