Senior Generative AI Engineer Location: Dallas, TX or Charlotte, NC (Hybrid / relocation OK) Duration: 12+ months

Role Summary We are looking for a Senior Generative AI Engineer with strong Python + LLM + RAG + MLOps experience to design and deploy enterprise-grade AI solutions. The role involves building scalable GenAI platforms, agentic AI workflows, and production-ready ML pipelines.

Must-Have Skills
Generative AI / LLM development
Agentic AI / multi-agent systems
Strong Python programming
RAG (Retrieval Augmented Generation) pipelines
Machine Learning & Data Science
MLOps / LLMOps / CI-CD automation
LangChain / LangGraph / CrewAI
Vector databases (Pinecone, FAISS, Chroma, Weaviate)
Hugging Face / Transformers
PyTorch or TensorFlow
REST APIs / FastAPI / Microservices
Docker & Kubernetes
Cloud platforms (AWS or Google Cloud Platform Vertex AI)

Nice to Have
Google Cloud Platform experience preferred
Prompt engineering
LLM fine-tuning (LoRA / QLoRA / PEFT)
Enterprise AI architecture experience

Experience Required 10+ years in AI / ML / Data Science
Strong communication skills

Key Responsibilities
Build production-ready Generative AI and LLM solutions
Develop RAG-based semantic search systems
Design agentic AI workflows with memory & orchestration
Deploy scalable AI services on cloud platforms
Integrate AI into enterprise applications

For applications and inquiries, contact: hirings@openkyber.com

Openkyber

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