W2 Contract - 3 Title - GEN AI Engineer / GEN AI - Full Stack Developer / GenAI Python Developer

Note : 

There is 3 Titles JD mentioned below, Please check you comfortably with the JD and send me your profile accordingly .

All 3 title are w2 contract .. 

GenAI engineer

Dallas, TX (Onsite)

Long Term Contract

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As a Generative AI Specialist, you will be responsible for designing, developing, and deploying generative AI models that can generate high-quality, coherent, and engaging content.

You will work closely with our client and development team to identify new opportunities for AI-powered innovation and develop proof-of-concept models that demonstrate the potential of generative AI.

Key Responsibilities

* Develop and train generative AI models using techniques such as generative adversarial networks (GANs), variational autoencoders (VAEs), and recurrent neural networks (RNNs)

* Design and implement novel architectures and algorithms for generating high-quality content

* Collaborate with cross-functional teams to integrate generative AI models into various applications, such as chatbots, virtual assistants, and content generation platforms

* Conduct experiments and analyze results to optimize model performance and identify areas for improvement

* Stay up-to-date with the latest developments in generative AI research and apply this knowledge to drive innovation and growth

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GenAI Python Developer

Dallas, TX (Onsite)

Long Term Contract 

:Mandatory Qualifications:

Python experience

Expertise with Lang Chain,

Fast API Database integration (MongoDB/Postgres) \

Experience with vector databases and GenAI libraries (RAG framework)

Understanding of LangGraph

Desired Qualifications:

Experience with Milvus Prompt engineering

Familiarity with data science libraries (scikit-learn, TensorFlow)

Additional Qualifications:

Knowledge of deploying AI models in production environments

Experience with cloud platforms (AWS) for scalable GenAI application.

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Full-Stack Developer (GenAI)

Dallas, TX (Onsite)

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Mandatory Qualifications:

• Python experience
• Expertise with LangChain, FastAPI
• Database integration (MongoDB/Postgres)
• Experience with vector databases and GenAI libraries (RAG framework, Hugging Face, OpenAI)
• Understanding of Langgraph
• Experience with clouds platforms (AWS)

Desired Qualifications:

• Experience with Milvus
• Prompt engineering
• ReactJS and Next.js
• NodeJS
• Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch)
• Understanding of UI/UX design principles
• Experience with RESTful APIs, and API optimization
• Knowledge of performance optimization for both AI models and front-end systems

Additional Qualifications:

• Knowledge of deploying AI models in production environments
• Containerization and orchestration tools (Docker, Kubernetes)