

Danta Technologies
Gen AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Engineer in the telecommunication industry, requiring experience in Agentic AI, Python, GCP, and SQL. It offers a long-term contract with a negotiable pay rate, located in Dallas/Irving, TX, or Basking Ridge, NJ, or Atlanta, GA.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
400
-
🗓️ - Date
August 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Hoboken, NJ
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🧠 - Skills detailed
#Cloud #Transformers #Version Control #Kubernetes #Storage #Terraform #SQL (Structured Query Language) #Data Science #PySpark #Pandas #PyTorch #BERT #Spark (Apache Spark) #ML (Machine Learning) #BigQuery #GIT #GCP (Google Cloud Platform) #Databases #AI (Artificial Intelligence) #Python #Data Processing #Monitoring #Docker #NLP (Natural Language Processing) #IAM (Identity and Access Management) #Scala #Deployment #"ETL (Extract #Transform #Load)" #Data Modeling #Microservices #Datasets #Deep Learning
Role description
Position - 1
Customer: Telecommunication Industry
Position: Gen AI Engineer (Agentic AI/Python/GCP-Google ADK preferred)
Onsite/Hybrid work Locations: Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)
Long-term position
Pay rate - Negotiable. We are looking for independent candidates who can be employed under Danta Technologies payroll
We are looking for candidates with experience in Agentic AI, Gen AI, Google ADK (Preferable), GCP, strong coding experience in Python (Read & Write), Data Structures, SQL.
Key Skills -
Agentic AI, Gen AI, AI/ML, Data Science, SQL, Python, Pandas, Deep Learning, Machine Learning, LLM, Data Structures, BERT Transformers, NLP, PyTorch, PySpark.
The ideal candidate will leverage their expertise in Artificial Intelligence, Machine Learning, and Deep Learning to drive insights and innovation from customer and marketing data. You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform (GCP) for scalable data solutions. Proficiency in data modeling and version control with Git is essential.
Key Responsibilities
• Develop and implement AI, Machine Learning, and Deep Learning models.
• Analyze and interpret complex datasets, focusing on customer and marketing data.
• Design and build data models to support business objectives.
• Collaborate with cross-functional teams to deploy models using Python, PySpark, and PyTorch.
• Utilize GCP for cloud-based data processing and storage.
• Maintain code and collaborate on projects using Git.
Requirements
• Proven experience in AI, Machine Learning, and Deep Learning.
• Strong proficiency in Python, PySpark, and PyTorch.
• Experience with GCP and data modeling.
• Familiarity with Git for version control.
• Ability to analyze customer and marketing data effectively.
Position - 2
Client: Telecommunication Industry
Job Title: Production AI Platform Engineer (GCP)
Onsite/Hybrid work Locations: Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)
Long-term position
Job Summary
We are looking for a Production AI Platform Engineer with strong experience building and supporting production-grade applications. This is not a traditional Data Scientist role.
Required Skills
• Production Engineering Experience with scalable production systems, Kubernetes, Docker, CI/CD, Terraform, monitoring, and microservices.
• GCP Deployments Hands-on experience deploying and managing applications on Google Cloud Platform (GKE, Cloud Run, BigQuery, Pub/Sub, IAM).
• AI Engineering (Preferred) Experience with LLMs, RAG, embeddings, vector databases, or AI agents is a plus.
Note: We are looking for software/infrastructure engineers with production experience. AI skills are preferred but can be learned; strong production engineering is the highest priority.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
Position - 1
Customer: Telecommunication Industry
Position: Gen AI Engineer (Agentic AI/Python/GCP-Google ADK preferred)
Onsite/Hybrid work Locations: Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)
Long-term position
Pay rate - Negotiable. We are looking for independent candidates who can be employed under Danta Technologies payroll
We are looking for candidates with experience in Agentic AI, Gen AI, Google ADK (Preferable), GCP, strong coding experience in Python (Read & Write), Data Structures, SQL.
Key Skills -
Agentic AI, Gen AI, AI/ML, Data Science, SQL, Python, Pandas, Deep Learning, Machine Learning, LLM, Data Structures, BERT Transformers, NLP, PyTorch, PySpark.
The ideal candidate will leverage their expertise in Artificial Intelligence, Machine Learning, and Deep Learning to drive insights and innovation from customer and marketing data. You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform (GCP) for scalable data solutions. Proficiency in data modeling and version control with Git is essential.
Key Responsibilities
• Develop and implement AI, Machine Learning, and Deep Learning models.
• Analyze and interpret complex datasets, focusing on customer and marketing data.
• Design and build data models to support business objectives.
• Collaborate with cross-functional teams to deploy models using Python, PySpark, and PyTorch.
• Utilize GCP for cloud-based data processing and storage.
• Maintain code and collaborate on projects using Git.
Requirements
• Proven experience in AI, Machine Learning, and Deep Learning.
• Strong proficiency in Python, PySpark, and PyTorch.
• Experience with GCP and data modeling.
• Familiarity with Git for version control.
• Ability to analyze customer and marketing data effectively.
Position - 2
Client: Telecommunication Industry
Job Title: Production AI Platform Engineer (GCP)
Onsite/Hybrid work Locations: Dallas/Irving, TX (First Preference) / Basking Ridge, NJ / Atlanta, GA (2-3 days onsite, 2 days remote)
Long-term position
Job Summary
We are looking for a Production AI Platform Engineer with strong experience building and supporting production-grade applications. This is not a traditional Data Scientist role.
Required Skills
• Production Engineering Experience with scalable production systems, Kubernetes, Docker, CI/CD, Terraform, monitoring, and microservices.
• GCP Deployments Hands-on experience deploying and managing applications on Google Cloud Platform (GKE, Cloud Run, BigQuery, Pub/Sub, IAM).
• AI Engineering (Preferred) Experience with LLMs, RAG, embeddings, vector databases, or AI agents is a plus.
Note: We are looking for software/infrastructure engineers with production experience. AI skills are preferred but can be learned; strong production engineering is the highest priority.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.






