What are the responsibilities and job description for the Senior Generative AI Engineer Irving, TX (Onsite/Hybrid) Only on w2 position at BURGEON IT SERVICES?
Job Title: Senior Generative AI Engineer
Location: Irving, TX (Onsite/Hybrid)
Duration: 12Months plus Contract
Please share the resumes with me at pranay@burgeonits.com
Role Overview
We are looking for a Senior Generative AI Engineer/Architect with strong experience in building LLM-based and Agentic AI solutions. You will design and deploy scalable AI systems using modern frameworks, cloud platforms, and MLOps practices.
Key Responsibilities
- Design and build Generative AI solutions (LLMs, RAG pipelines)
- Develop agentic AI / multi-agent systems
- Implement prompt engineering and embedding-based retrieval
- Build and deploy APIs & microservices (FastAPI, REST)
- Integrate AI solutions into enterprise applications
- Manage MLOps / LLMOps pipelines (CI/CD, automation)
Required Skills
- Strong experience in Generative AI, LLMs, Transformers
- Hands-on with RAG (Retrieval-Augmented Generation)
- Experience in Agentic AI / multi-agent frameworks
- Expertise in Python
- Experience with LangChain, LangGraph, CrewAI
- Knowledge of vector databases (Pinecone, FAISS, ChromaDB)
- Strong experience in MLOps / LLMOps (MLflow, CI/CD pipelines)
- Experience with cloud platforms (GCP Vertex AI, AWS SageMaker)
- API development using FastAPI / REST / Docker / Kubernetes
Good to Have
- Prompt Engineering
- LLM fine-tuning (LoRA, QLoRA, PEFT)
- Experience with Hugging Face
- Knowledge of hybrid search / embeddings
Experience
- 10 years in AI / ML / Data Science