

Mindlance
Artificial Intelligence Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date
June 10, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Concord, CA
-
π§ - 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:
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.β
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:
βMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of β Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.β






