> Markdown version of [/jobs/ext/2043842-frontline-ai-engineer-i](https://www.wearedevelopers.com/jobs/ext/2043842-frontline-ai-engineer-i). 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). --- # Frontline AI Engineer I - **Company:** Brillio - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Performance Tuning, Rapid Prototyping Process, Search Technologies, Software Engineering, TypeScript, Software Organization, Google Cloud, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Git, Fastapi, AI Platforms, Information Technology, Virtual Agents, Api Design, Restful APIs, Docker - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/job/us6e86a10b291768689ec0111a22ba1925/eaa ## About the Role We are looking for a passionate and hands-on AI Builder to join our AI Engineering team. This role is ideal for someone with 1-2 years of experience who enjoys building AI-powered applications, experimenting with the latest Large Language Models (LLMs), and developing intelligent agents and automation solutions. You will work closely with AI architects, software engineers, and business teams to rapidly prototype and deploy generative AI solutions for enterprise clients. \n, * Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related field. * 1-2 years of software development or AI engineering experience. * Proficiency in Python and familiarity with JavaScript or TypeScript. * Experience using LLM APIs such as OpenAI or Azure OpenAI. * Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG). * Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI frameworks. * Understanding of REST APIs, Git, and software development best practices. * Exposure to cloud platforms such as Azure, AWS, or Google Cloud. Preferred Skills * Experience with AI agent frameworks and multi-agent orchestration. * Familiarity with vector databases such as Pinecone, Azure AI Search, Weaviate, or Chroma. * Knowledge of FastAPI, Docker, and CI/CD pipelines. * Exposure to machine learning fundamentals and model evaluation. * Understanding of enterprise data integration and API development., * Strong curiosity and passion for Generative AI. * Excellent problem-solving and analytical skills. * Ability to learn new technologies quickly and build rapid prototypes. * Strong communication and collaboration skills. * A builder mindset with a willingness to experiment and innovate. ## Description * Design, build, and deploy AI-powered applications using Large Language * Models (LLMs) and modern AI frameworks. * Develop AI agents, copilots, and workflow automations using platforms such as OpenAI, Azure AI, and LangChain. * Build Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources. * Develop REST APIs and integrate AI services with enterprise applications and cloud platforms. * Create reusable prompts, workflows, and AI components to accelerate solution delivery. * Collaborate with product owners, architects, and developers to translate business requirements into AI solutions. * Evaluate new AI models, tools, and frameworks, and rapidly prototype innovative use cases. * Participate in testing, model evaluation, prompt optimization, and performance tuning. * Document solutions and contribute to reusable assets and best practices., Job Summary As a technical leader within the Concrete service line, the Engineer 3 serves as a mentor to junior staff, supports QA/QC oversight, and drives continuous improvement… + 2 days ago ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Got AI ideas but no money? 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