Senior GEN AI Engineer

Flex Employee Services is hiring a Senior GEN AI Engineer to design, develop, and deploy AI-powered solutions for enterprise applications. The role focuses on machine learning, deep learning, and generative AI using LLMs, including production deployment and MLOps practices, in a hybrid setup based in Plano, TX.

In this position, you will build production-ready AI applications, fine-tune and evaluate foundation models with domain-specific datasets, and implement orchestration patterns for scalable AI systems. You will also partner with product managers, architects, and business stakeholders to translate requirements into deliverable AI solutions.

• Design, develop, and deploy AI and ML solutions for enterprise applications.
• Build and optimize machine learning and deep learning models for production environments.
• Develop generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), and AI agents.
• Fine-tune and evaluate foundation models using domain-specific datasets, including prompt engineering and AI orchestration frameworks such as Lang Chain or Llama Index
  .
• Develop scalable data pipelines for model training, evaluation, and deployment.
• Collaborate with product managers, architects, and business stakeholders to map business requirements to AI solutions.
• Implement MLOps practices including CI/CD, model monitoring, versioning, and governance.
• Ensure AI models meet performance, security, scalability, and compliance requirements.
• Mentor junior engineers and contribute to AI best practices across the organization.

• AI-enabled application development experience.
• Strong generative AI fundamentals.
• Strong LLM application frameworks experience.
• Hands-on experience with machine learning and deep learning frameworks such as Tensor Flow
  , Py Torch , and Scikit-learn
  .
• Strong programming skills in Python
  .
• Experience:
  
  7 to 15 years
  .
• Experience working with generative AI, LLMs, RAG, AI agents, and prompt engineering.
• Knowledge of natural language processing (NLP) techniques and tools.
• Experience with vector databases such as Pinecone
  , Chroma
  , Weaviate
  , or FAISS
  .
• Familiarity with AI orchestration frameworks including Lang Chain and Llama Index
  .
• Strong understanding of MLOps tools and practices, including experience with cloud platforms such as Azure AI
  , AWS
  , or Google Cloud Platform
  .
• Knowledge of Docker
  , Kubernetes
  , and microservices architecture.
• Strong analytical, problem-solving, and communication skills.

• Python
• Tensor Flow
• Py Torch
• Scikit-learn
• Pinecone
• Chroma
• Weaviate
• FAISS
• Lang Chain
• Llama Index
• Azure AI
• AWS
• Google Cloud Platform
• Docker
• Kubernetes

Location: Hybrid remote in Plano, TX 75024

Expected hours: No less than 40.0 hours per week

Pay: Up to $57.00 per hour (USD)

• Dental insurance
• Health insurance
• Vision insurance
• Referral program

• Are you comfortable working on W2? If not, please hold off on completing the application for now. Another opportunity will be posted in the future for 1099/C2C candidates.
• Are you legally authorized to work in the United States (US Citizen/Green Card Holder)? If not, please hold off on completing the application for now. Another opportunity will be posted in the future for visa candidates.
• Are you comfortable working hybrid at any client's location? If not, please hold off on completing the application for now. Another opportunity will be posted in the future for other roles.
• Do you have 7 years of experience working with Generative AI, LLMs, RAG, AI Agents, and Prompt Engineering?
• Do you have 7 years of experience with Python?
• Do you have 7 years of experience with Machine Learning and Deep Learning frameworks such as Tensor Flow, PyTorch, and Scikit-learn?
• Do you have 5 years of experience with Generative AI Fundamentals?
• Do you have 5 years of experience with LLM Application Frameworks?