GenAI Engineer (In-Person Interview in NYC)

Role: GenAI Engineer Location: In-Person Interview in NYC Fulltime Role with Capgemini Role Overview. We are seeking an experienced GenAI Develope r to design, build, and deploy Generative AI solution s powered by LLMs (Large Language Models ). The ideal candidate will have hands-on experience in prompt engineering, RAG pipelines, LLM fine-tuning, and scalable AI system design. You will work on cutting-edge AI use cases such as chatbots, copilots, document intelligence, and intelligent automatio n, leveraging modern frameworks and cloud platforms. Key Responsibilities Design and implement Generative AI application s using LLMs (GPT, Llama, Claude, etc.) Build and optimize RAG (Retrieval-Augmented Generation) pipeline s Develop prompt engineering strategie s for high accuracy and performance Integrate LLMs with enterprise systems, APIs, and data sources Work with vector database s (Pinecone, FAISS, Weaviate, Chroma) Fine-tune and evaluate models using LoRA / PEFT technique s Build and manage AI pipelines for real-time and batch use case s Ensure latency, cost optimization, and scalabilit y Implement AI safety, guardrails, and monitoring mechanism Collaborate with data engineers, backend teams, and stakeholder Required Skill Core GenAI & LLM Expertise Strong experience with OpenAI / Azure OpenAI / Hugging Face / Anthropic API Deep understanding of LLMs, Transformers, Embedding Prompt engineering & prompt tuning Hands-on experience with RAG architecture Context management & token optimization Frameworks & Tool Experience with LangChain / LlamaIndex / Semantic Kerne lVector DBs Pinecone, FAISS, Milvus, Weaviate Knowledge of Knowledge graphs (optional but good ) Programming & Backend Strong programming in Python (mandatory ) Experience with FastAPI / Flas kREST APIs and microservices architecture Data & Cloud Experience with Azure / AWS / GCP AI service. Handling Unstructured data (PDFs, documents, logs ) Show more Show less