Generative AI Engineer

Job Title: Generative AI Engineer Location: Irving, TX; Dallas, TX; or Charlotte, NC -hybrid Duration: 12+ months Minimum years of experience: >10 years Certifications Needed: Yes Job Details: Must Have Skills: GEN AI, Agentic AI, ML Ops, Python, ML, Data Science, RAG, LLM Nice to have skills: GCP, Prompt Engineering Detailed Job Description: 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 Gen Aframeworks, along with expertise in building scalable AI applications. Key Responsibilities: • Design and implement Generative AI models for text, image, or multimodal applications. • Develop prompt engineering strategies and embedding-based retrieval systems. • Integrate Gen AI capabilities into web applications and enterprise workflows. • Build agentic AI applications with context engineering and MCP tools. Required Skills & Qualifications: • 10+ years of hands-on experience in AI, Data science, ML, GEN AI. • Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow). • Hands 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 and RAG technique for semantic search. • Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, GCP Vertex AI). • Understanding of MLOps practices for scalable AI deployment. • Strong experience in working with LLM fine-tuning with LoRA, QLoRA, PEFT, • Strong experience in Architected advanced RAG systems using Pinecone, FAISS, Weaviate, Chroma, hybrid retrieval, and custom embeddings, • Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow, DVC, SageMaker Pipelines, Vertex AI Pipelines, and GitHub Actions • Experience in using cloud-native AI systems on AWS (SageMaker, Lambda, EKS, EC2, Step Functions, S3, Glue) and GCP Vertex AI, supporting high-volume inference and secure enterprise operations • Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling, validation agents, automated reasoning, and workflow supervision