Design and deploy enterprise-grade AI solutions as a Senior Generative AI Engineer. Build production-ready Generative AI and LLM solutions, develop RAG-based semantic search systems, and integrate AI into enterprise applications.
Key Highlights
Key Responsibilities
Technical Skills Required
Nice to Have
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, BURGEON IT SERVICES LLC, is seeking the following. Apply via Dice today!
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)
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- Google Cloud Platform experience preferred
- Prompt engineering
- LLM fine-tuning (LoRA / QLoRA / PEFT)
- Enterprise AI architecture experience
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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
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