Generative AI Engineer C2C jobs – LLM & MLOps Specialist in Irving, TX

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

Minimum years of experience: >10 years
Certifications Needed: Yes