GenAI Full Stack AI Engineer

Tasks

• Design and develop Generative AI applications using LLMs, RAG, and AI Agents.
• Build scalable AI solutions using Python.
• Implement embeddings, semantic search, and vector databases.
• Develop AI chatbots and agentic AI applications using LangChain and LangGraph.
• Build RAG pipelines using vector databases such as Pinecone, FAISS, and Weaviate.
• Develop and integrate REST APIs, microservices, and ReactJS interfaces.
• Work with LlamaIndex and Hugging Face Transformers.
• Deploy, monitor, and optimize production-ready enterprise AI applications.

Requirements

• 2+ years of strong Python programming experience
• Hands-on experience with LLMs, RAG, and prompt engineering
• LangChain and LangGraph
• Vector databases: Pinecone, FAISS, or Weaviate
• Embeddings, semantic search, and vector retrieval
• REST APIs and microservices
• AI Agents and chatbot development
• ReactJS
• Working knowledge of PyTorch or TensorFlow
• Preferred: AWS, Azure, or GCP
• Preferred: Docker and CI/CD
• Preferred: MLOps and LLMOps
• Preferred: Microsoft Copilot Studio or similar AI platforms
• Preferred: Experience deploying scalable, production-grade GenAI solutions

Schedule

• Contract – W2 Only
• Hybrid

Pay

• $30/hour

How to apply

• Share your updated resume by email.

Location

• Tampa, FL