[Remote] Gen AI Engineer - Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD, Philadelphia, PA

Note The job is a remote job and is open to candidates in USA. Dice is seeking an experienced GenAI Engineer to design, build, and deploy production-grade generative AI applications using Google Gemini, Vertex AI, and Google Cloud Platform. The role focuses on developing RAG applications, multi-agent AI systems, scalable cloud-native solutions, data ingestion pipelines, vector search architectures, LLM evaluation and operations, and REST APIs for enterprise applications. Responsibilities Design, develop, and deploy Generative AI applications powered by Google Gemini (Pro, Flash, Ultra) and Vertex AI Build advanced prompt pipelines, RAG applications, and AI workflows using LangChain Design and implement stateful, multi-agent AI systems using LangGraph Develop scalable AI solutions utilizing Google Cloud services including Vertex AI Search, BigQuery, Cloud Run, Cloud Storage, and IAM Build robust data ingestion pipelines supporting multiple document formats Implement vector search architectures using Vertex AI Vector Search or vector databases such as Chroma, Milvus, Pinecone, Weaviate, or Qdrant Optimize LLM performance using prompt engineering, few-shot learning, and PEFT techniques Establish evaluation metrics for LLM accuracy, latency, hallucination detection, and model performance Implement LLMOps best practices including observability, scalability, monitoring, and security Develop REST APIs using FastAPI or Flask to expose AI services Collaborate with Product Managers, Data Engineers, and Front-End Developers to integrate AI capabilities into enterprise applications Skills Strong programming experience in Python Experience building REST APIs using FastAPI or Flask Hands-on experience with Google Gemini APIs, Vertex AI, and other enterprise LLM platforms Strong expertise with Langchain and LangGraph Experience implementing RAG architecture Strong knowledge of Google Cloud Platform (Google Cloud Platform) Experience with Vertex AI, IAM, Cloud Run, BigQuery, and Google Cloud Storage Experience working with Vector Databases including Pinecone, Weaviate, Qdrant, Chroma, or Milvus Strong SQL and NoSQL database experience Experience debugging complex AI pipelines and distributed applications Strong problem-solving and communication skills Python Google Gemini Vertex AI Google Cloud Platform (Google Cloud Platform) Langchain LangGraph FastAPI Flask RAG Prompt Engineering Vector Databases Pinecone Weaviate Qdrant Chroma Milvus BigQuery Cloud Run Google Cloud Storage REST APIs Google Cloud Professional Machine Learning Engineer Certification Google Cloud Professional Cloud Architect Certification Experience with Llama Index Experience with Hugging Face Experience with React and TypeScript Knowledge of Agentic AI architectures Experience with MLOps or LLMOps platforms Llama Index Hugging Face React TypeScript PEFT LLMOps Agentic AI Vertex AI Vector Search Few Shot Learning Cloud Architecture Company Overview Dice offers a marketplace that enables direct connections between recruiters and technologists. It was founded in 1990, and is headquartered in Centennial, Colorado, USA, with a workforce of 201-500 employees. Its website is https//www.uk.dice.com. Company H1B Sponsorship Dice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.