Generative AI Engineer at XPath Solutions Dallas, TX

Location

Dallas, TX (or) Charlotte, NC (or) Raleigh, NC

US Citizens and Green Card Holders needed

We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting‑edge AI solutions. The ideal candidate will have hands‑on experience with Large Language Models (LLMs),
prompt engineering
, and Generative AI frameworks
, along with proven expertise in building scalable AI applications for enterprise use cases.

This role focuses on developing agentic AI systems
, retrieval‑augmented generation (RAG), and multi‑modal AI solutions while integrating GenAI capabilities into production‑grade applications and workflows.

Design and deliver scalable, production‑ready Generative AI solutions that leverage modern LLMs, agentic frameworks, and cloud AI platforms to power intelligent applications across the enterprise.

• Design and implement Generative AI models for:
  • Text-based applications
  • Image-based applications
  • Multimodal AI solutions
• Develop and optimize prompt engineering strategies to improve LLM performance and reliability
• Build and integrate embedding‑based retrieval systems and RAG pipelines
• Integrate Generative AI capabilities into web applications and enterprise workflows
• Design and develop agentic AI applications with:
  • Context management
  • Session and memory handling
  • MCP (Model Context Protocol) tools
• Collaborate with cross‑functional teams to deploy AI solutions at scale
• Ensure AI solutions are reliable, secure, and production‑ready

• Strong proficiency in Python
• Solid experience with AI/ML frameworks such as:
  • Py Torch
  • Tensor Flow
• Hands‑on experience building multi‑agent systems
  , including:
  • Session management
  • Memory handling
  • MCP tools
• Practical experience working with:
  • Large Language Models (LLMs)
  • Transformer architectures
  • Hugging Face ecosystem
• Knowledge and experience with:
  • Vector databases
  • Retrieval‑Augmented Generation (RAG)
  • Semantic search techniques
• Familiarity with cloud AI services
  , including:
  • AWS Sage Maker
  • Azure OpenAI
  • GCP Vertex AI
• Understanding of MLOps practices for scalable AI deployment

• Knowledge of AI ethics
  , including:
  • Bias mitigation
  • Responsible AI practices
• Experience designing AI systems with governance, transparency, and compliance in mind