> Markdown version of [/jobs/ext/1242965-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1242965-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Rapid Eagle Inc. - **Location:** Las Vegas, NV, United States - **Experience:** Experienced - **Salary:** $124,800.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Machine Learning, NoSQL, Software Engineering, SQL Databases, Enterprise Software Applications, Cloud Platform System, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Git, AI Platforms, Restful APIs, Data Pipelines, Docker - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e47b9f5b7a19b424 ## About the Role * 3-8 years of software development experience * Strong Python programming * Generative AI / Large Language Models (LLMs) * OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI platforms * LangChain or LlamaIndex * RAG (Retrieval-Augmented Generation) * Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, or Milvus) * Prompt Engineering * REST APIs * Git & CI/CD * SQL / NoSQL databases * Docker * Cloud Platform (AWS/Azure/GCP) ## Description * Design and develop AI-powered applications using Python. * Build Generative AI and LLM-based solutions using OpenAI, Azure OpenAI, Anthropic, or similar models. * Develop RAG (Retrieval-Augmented Generation) applications using vector databases. * Build REST APIs and integrate AI services with enterprise applications. * Design AI agents, chatbots, and intelligent automation workflows. * Develop data pipelines for AI/ML applications. * Fine-tune, evaluate, and optimize AI models for performance. * Deploy AI applications on AWS, Azure, or GCP. * Collaborate with product, data engineering, and DevOps teams. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)