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AI Engineer

Q1 Technologies, Inc.
Bellevue, WA, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

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
+15 more
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

Job 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 β€œ 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 β€œ 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.

Requirements

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 β€œ

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.

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