Generative AI Engineer

Job Description: Generative AI Engineer

Location: Dallas, TX OR Charlotte, NC OR Raleigh, NC (Hybrid)

Duration: Long Term

Visa Type: &

We seek a skilled Generative AI Engineer for designing and implementing advanced AI solutions in US-based contract roles. The position focuses on leveraging cutting-edge technologies to drive innovation in AI applications.

Role Overview

·         Responsibilities include background research to high-level design, development, and deployment of generative AI solutions using TensorFlow and Python. Candidates will work with large language models (LLMs), embeddings, and Retrieval-Augmented Generation (RAG) workflows.

Scope of Work

·         Projects encompass test and non-generative AI model development, engineering MLOps tools, and building enterprise systems. Tasks involve TensorFlow for agent-based models and memory systems with LLMs.

Qualifications

·         Strong proficiency in Python and AI/ML framework (PyTorch, TensorFlow)

·         Hand on experience using session and memory for building multi-agent systems along with using MCP tools.

·         Hands on experience with LLMs transformers and Hugging Face ecosystem.

·         Knowledge and experience with vector databases

·         Experience building LLMs, embeddings with vector databases, knowledge graphs.

Preferred Skills

·         Familiarity with RAG-based practices and applications.

·         Knowledge of Hugging Face, Semantic Kernel, Azure OpenAI.

·         Understanding of MLOps practices