MLOps

Job Title: Gen AI Engineer Location: Tampa, Florida, (Hybrid) Duration: 12+ Months Contract Experience: 10+ Years Only W2 No C2C Job Description: Client looking for a Generative AI Engineer to build and deploy next-generation AI solutions leveraging Large Language Models (LLMs) and advanced machine learning techniques. The candidate will work with cross-functional teams to develop scalable AI applications that enhance automation, analytics, and intelligent decision-making. Key Responsibilities: Design and implement Generative AI applications using LLM frameworks. Develop AI solutions using Python, LangChain, LlamaIndex, and OpenAI APIs. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases. Fine-tune and optimize LLM models for enterprise use cases. Deploy AI solutions on AWS / Azure / Google Cloud Platform cloud environments. Integrate AI services with enterprise applications using REST APIs and microservices. Collaborate with data scientists, ML engineers, and business teams to deliver AI-driven solutions. Ensure adherence to Responsible AI, security, and compliance standards. Required Skills: 10+ years of experience in Software Development / AI Engineering. Strong programming skills in Python. Hands-on experience with Generative AI, LLMs, and Prompt Engineering. Experience with LangChain, Hugging Face, LlamaIndex. Knowledge of Vector Databases (Pinecone, FAISS, Weaviate). Experience with cloud platforms (AWS / Azure / Google Cloud Platform). Strong understanding of NLP, Machine Learning, and AI model deployment. Preferred Skills: Experience building AI copilots, chatbots, or knowledge assistants. Knowledge of MLOps and model monitoring. Experience with Docker, Kubernetes, and CI/CD pipelines. For applications and inquiries, contact: hirings@openkyber.com