GenAI Developer || Charlotte, NC/Jersey City, NJ (Onsite)
Jersey City, NJ, US • Posted 7 days ago • Updated 21 minutes agoFull Time
On-site
$DOE
In Technologies Inc
Fitment
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Job Details
Skills
- Python (Programming Language)
- Amazon Web Services
- Software Debugging
- Google Cloud
- Microsoft Azure
- Innovation
- Mentoring
- Communication Skills
- Success Driven Person
- Architecture
- Cloud Computing
- Problem Solving
- Self Motivation
- Testing Skills
- Business Requirements
- Modelling Skills
- Workflows
- Databases
- Application Programming Interfaces (APIs)
- Artificial Intelligence
- Data Science
- Feature Engineering
- Github
- GPT
- Prompt Engineering
- Team Working
- Artificial Neural Networks
- Computer Programming
- Deep Learning
- HuggingFace
- Large Language Models
- Pytorch
- Technical Documentation
- Tensorflow
- Variational Autoencoders
Summary
Job Title: GenAI Developer
Location: Charlotte, NC/Jersey City, NJ (Onsite)
Job Description
Required Skills
Agentic AI, MS Copilot Studio, Python, GitHub Copilot
Key Responsibilities
- Model Development: Design, train, fine-tune, and deploy generative AI models (LLMs, GANs, VAEs) for text, image, or media generation.
- Application Building: Develop AI-powered solutions like copilots, content generators, and intelligent agents.
- : Build and maintain AI pipelines, including data preprocessing and feature engineering.
- : Use Retrieval-Augmented Generation (RAG) to enhance model knowledge and performance.
- Collaboration: Work with cross-functional teams (product, data science) to understand needs and deliver solutions.
- Optimization & Testing: Conduct rigorous testing, debugging, and hyperparameter tuning for model efficiency.
- Research & Innovation: Stay current with the latest AI/ML research and integrate new techniques.
- Documentation & Mentorship: Create technical documentation and guide junior developers.
Essential Skills & Qualifications
- Programming: Strong Python skills, proficiency in ML/GenAI libraries (TensorFlow, PyTorch, , ).
- AI/ML Fundamentals: Solid understanding of deep learning, neural networks, and generative modeling.
- NLP: Experience with Natural Language Processing (NLP) techniques.
- Cloud: Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform).
- Architecture: Knowledge of AI agent architecture (APIs, databases, workflows).
- Education: Degree in CS, AI, or a related field.
What Companies Look For
- Ability to turn business needs into AI solutions.
- Experience with prompt engineering for models like , , .
- Problem-solving, communication, and teamwork.
- A proactive, innovative, and results-oriented approach.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91172274
- Position Id: 2026-61
- Posted 7 days ago
Company Info
About In Technologies Inc
Our Mission
To bridge the global talent gap by connecting world-class IT professionals with companies that value innovation, growth, and excellence. We believe that the right talent can transform businesses and create lasting impact.
Through our comprehensive recruitment solutions and deep industry expertise, we empower organizations to scale rapidly while ensuring full compliance with US employment regulations.
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