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Gen AI Engineer

Job in Hoboken, Hudson County, New Jersey, 07030, USA
Listing for: Danta Technologies
Full Time position
Listed on 2026-08-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python, Data Scientist
Job Description & How to Apply Below

Gen AI Engineer (Agentic AI/Python/GCP-Google ADK Preferred)

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.
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