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# AI Engineer

- **Company:** Q1 Technologies, Inc.
- **Location:** Bellevue, WA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Natural Language Processing, OpenAI, Search Technologies, Enterprise Search, Enterprise Software Applications, Chatbots, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Microsoft Fabric, Microsoft Copilot Studio, AI Platforms, AutoGen, Semantic Kernel
- **Published:** October 16, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-bellevue-wa--13d766b6-7044-4c2e-8dbd-e4c47ca5a71e

## About the Role

Digital : Python; Copilot Studio; Digital : Machine Learning; Digital : Microsoft Azure,Microsoft Fabric,1) Design, develop, and deploy AI/GenAI solutions using Large Language Models (LLMs).
2) Build intelligent applications, chatbots, AI agents, and workflow automation solutions.
3) Develop and optimize prompt engineering, semantic search, RAG, and vector database solutions.
4) Integrate AI services with enterprise systems, APIs, databases, and cloud platforms.
5) Monitor model performance, accuracy, security, and governance while continuously improving AI solutions.Skills Required:
1) Strong programming skills in Python.
2) Hands-on experience with Azure OpenAI, Azure AI Search, Copilot Studio, or similar AI platforms.
3) Knowledge of Machine Learning, NLP, Generative AI, embeddings, and vector databases.
4) Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen.
5) Strong understanding of cloud platforms (Azure), data engineering concepts, and DevOps practices "

Role Descriptions: 1) Design| develop| and deploy AI/GenAI solutions using Large Language Models (LLMs).2) Build intelligent applications| chatbots| AI agents| and workflow automation solutions.3) Develop and optimize prompt engineering| semantic search| RAG| and vector database solutions.4) Integrate AI services with enterprise systems| APIs| databases| and cloud platforms.5) Monitor model performance| accuracy| security| and governance while continuously improving AI solutions.

## Description

AI Engineer Digital : Python; Copilot Studio; Digital : Machine Learning; Digital : Microsoft Azure,Microsoft Fabric,1) Design, develop, and deploy AI/GenAI solutions using Large Language Models (LLMs). 2) Build intelligent applications, chatbots, AI agents, and workflow automation solutions. 3) Develop and optimize prompt engineering, semantic search, RAG, and vector database solutions. 4) Integrate AI services with enterprise systems, APIs, databases, and cloud platforms. 5) Monitor model performance, accuracy, security, and governance while continuously improving AI solutions.Skills Required: 1) Strong programming skills in Python. 2) Hands-on experience with Azure OpenAI, Azure AI Search, Copilot Studio, or similar AI platforms. 3) Knowledge of Machine Learning, NLP, Generative AI, embeddings, and vector databases. 4) Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. 5) Strong understanding of cloud platforms (Azure), data engineering concepts, and DevOps practices " Role Descriptions: 1) Design| develop| and deploy AI/GenAI solutions using Large Language Models (LLMs).2) Build intelligent applications| chatbots| AI agents| and workflow automation solutions.3) Develop and optimize prompt engineering| semantic search| RAG| and vector database solutions.4) Integrate AI services with enterprise systems| APIs| databases| and cloud platforms.5) Monitor model performance| accuracy| security| and governance while continuously improving AI solutions.
AI Engineer Digital : Python; Copilot Studio; Digital : Machine Learning; Digital : Microsoft Azure,Microsoft Fabric,1) Design, develop, and deploy AI/GenAI solutions using Large Language Models (LLMs). 2) Build intelligent applications, chatbots, AI agents, and workflow automation solutions. 3) Develop and optimize prompt engineering, semantic search, RAG, and vector database solutions. 4) Integrate AI services with enterprise systems, APIs, databases, and cloud platforms. 5) Monitor model performance, accuracy, security, and governance while continuously improving AI solutions.Skills Required: 1) Strong programming skills in Python. 2) Hands-on experience with Azure OpenAI, Azure AI Search, Copilot Studio, or similar AI platforms. 3) Knowledge of Machine Learning, NLP, Generative AI, embeddings, and vector databases. 4) Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. 5) Strong understanding of cloud platforms (Azure), data engineering concepts, and DevOps practices " Role Descriptions: 1) Design| develop| and deploy AI/GenAI solutions using Large Language Models (LLMs).2) Build intelligent applications| chatbots| AI agents| and workflow automation solutions.3) Develop and optimize prompt engineering| semantic search| RAG| and vector database solutions.4) Integrate AI services with enterprise systems| APIs| databases| and cloud platforms.5) Monitor model performance| accuracy| security| and governance while continuously improving AI solutions.