Gen AI React Engineer

Gen AI React Engineer

Location: Cincinnati, OH
Employment Type: Full-Time

Role Overview

We are seeking a Gen AI React Engineer to develop full stack applications that integrate generative AI and large language models (LLMs). This role combines React.js frontend development, Python backend engineering, and AI integration to deliver intuitive, reliable applications.

Key Responsibilities

• Build responsive user interfaces using React.js, JavaScript/TypeScript, HTML, and CSS.

• Develop Python backend services and REST APIs to support AI-powered applications.

• Integrate LLMs such as OpenAI, Claude, and Gemini through APIs or cloud platforms.

• Design and refine prompts for use cases such as conversational assistants, document search, summarization, and content generation.

• Build Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, retrieval, and response generation.

• Integrate vector databases and search services to retrieve relevant enterprise information.

• Develop chat interfaces with streaming responses, conversation history, loading states, and error handling.

• Evaluate AI responses for accuracy, relevance, grounding, latency, and cost.

• Implement safeguards for sensitive data, prompt injection, and access-controlled retrieval.

• Deploy and monitor applications on AWS or Azure.

• Collaborate with product, design, data, and QA teams to deliver features from requirements through production.

Required Skills and Qualifications

• Hands-on experience building applications using React.js and JavaScript or TypeScript.

• Strong Python development skills and experience with a backend framework such as FastAPI, Flask, or Django.

• Practical experience integrating generative AI and LLM APIs into applications.

• Understanding of prompt engineering, context management, token limits, and structured outputs.

• Experience implementing RAG, embeddings, vector search, and document retrieval.

• Experience developing and consuming REST APIs, including authentication and error handling.

• Experience deploying applications on AWS or Azure.

• Understanding of full stack architecture, application security, testing, and debugging.

• Strong problem-solving, communication, and collaboration skills.