Senior GEN AI Engineer

Senior GEN AI Engineer role focused on designing, developing, and deploying AI solutions for enterprise applications in a hybrid setup in Plano, TX.

Responsibilities

• Design, develop, and deploy AI/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.
• Apply prompt engineering strategies and AI orchestration frameworks such as LangChain or LlamaIndex.
• Develop scalable data pipelines for model training, evaluation, and deployment.
• Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI solutions.
• Implement MLOps practices including CI/CD, model monitoring, versioning, and governance.
• Support AI models meeting performance, security, scalability, and compliance requirements.
• Mentor junior engineers and contribute to AI best practices across the organization.

Requirements

• AI-enabled application development experience.
• Generative AI fundamentals (strong).
• LLM application frameworks (strong).
• Hands-on experience with machine learning and deep learning frameworks: TensorFlow, PyTorch, and Scikit-learn.
• Python programming skills.
• 7 to 15 years of experience.
• Experience with Generative AI, LLMs, RAG, AI agents, and prompt engineering.
• Knowledge of Natural Language Processing (NLP) techniques and tools.
• Experience with vector databases: Pinecone, Chroma, Weaviate, or FAISS.
• Familiarity with orchestration frameworks including LangChain and LlamaIndex.
• Strong understanding of MLOps tools and practices, with experience with Azure AI, AWS, or Google Cloud Platform.
• Knowledge of Docker, Kubernetes, and microservices architecture.
• Strong analytical, problem-solving, and communication skills.

Technologies

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Pinecone
• Chroma
• Weaviate
• FAISS
• LangChain
• LlamaIndex
• Azure AI
• AWS
• Google Cloud Platform
• Docker
• Kubernetes

Location and Schedule

• Location: Hybrid remote in Plano, TX 75024
• Expected hours: No less than 40.0 hours per week

Compensation

• Salary: USD 57 per hour
• Pay: Up to $57.00 per hour

Benefits

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

Application Questions

• Are you comfortable working on W2? If not, please hold off on completing the application for now. Another opportunity in the future will be posted 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 in the future will be posted 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 in the future will be posted 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 TensorFlow, PyTorch, and Scikit-learn?
• Do you have 7 years of experience with AI-enabled Application Development?
• Do you have 5 years of experience with Generative AI Fundamentals?
• Do you have 5 years of experience with LLM Application Frameworks?