> Markdown version of [/jobs/ext/1931976-mid-level-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1931976-mid-level-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). --- # Mid Level AI Engineer - **Company:** Capco - **Location:** Orlando, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Business Systems, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Interoperability, Python (Programming Language), Open Source Technology, Software Construction, TypeScript, Web Application Frameworks, Google Cloud, ReactJS, Large Language Models, Multi-Agent Systems, Software Application Programming, Generative AI, Backend, Git, Front End Software Development, Restful APIs, Docker, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/bf7422d8-7aec-477a-ad81-591b876e652c ## About the Role * 2-3 years of professional software; AI engineering experience. * Hands-on experience building applications using Generative AI technologies, Large Language Models, and leading LLM providers such as OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source models. * Strong Python development skills with experience building REST APIs, microservices, and scalable backend applications. * Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. * Understanding of software engineering best practices including Git, CI/CD, testing, code reviews, and cloud platforms such as AWS, Azure, or Google Cloud. Bonus Points For * Experience building multi-agent AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies. * Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards. * Experience with LLM observability and evaluation platforms such as LangSmith, Langfuse, Arize, or similar tools. * Experience deploying containerized applications using Docker and Kubernetes. * Exposure to frontend technologies such as React, TypeScript, modern web frameworks, or contributions to open-source AI projects. ## Description Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. You will work alongside software engineers, product managers, and AI specialists to deliver scalable, production-grade AI solutions that solve complex business challenges and create exceptional user experiences. This is an exciting opportunity to join a fast-growing AI capability, working on innovative solutions that transform how organizations leverage Generative AI technologies. What You'll Do * Design, build, and deploy AI-powered applications using Large Language Models, foundation models, and modern Generative AI frameworks. * Develop and optimize Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge sources. * Create intelligent AI agents and workflows capable of interacting with APIs, external tools, and business systems. * Build scalable REST APIs, backend services, and cloud-native architectures to support AI-powered products. * Collaborate with cross-functional teams to translate business requirements into robust, production-ready AI solutions. ## 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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)