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AI Engineer @ Onsite Redmond, WA
Career Insights for Generative Artificial Intelligence Engineer
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$149,128 / year median in Washington
Job Description
AI Engineer Location:
Redmond, WA Experince:
8-10 Years Job Description We are looking for an experienced AI Engineer to design, develop, integrate, and deploy AI-powered solutions, with a strong focus on Generative AI, Agentic AI, LLMs, and Microsoft AI technologies . Mandatory Skills Python strong hands-on development experience Agentic AI hands-on experience with AutoGen MCP (Model Context Protocol) practical implementation experience OpenAI / LLMs experience building LLM-powered applications using OpenAI APIs Machine Learning & Deep Learning strong fundamentals and practical experience NLP and/or Computer Vision Microsoft AI Tools/Technologies hands-on experience is required Cloud Platforms Azure preferred; AWS/Google Cloud Platform experience is acceptable Docker & Kubernetes API Design & Development REST APIs and system integration Debugging & Troubleshooting strong production-level problem-solving skills Data Engineering data processing, preparation, and pipeline concepts MLOps / CI/CD experience with model deployment and automated pipelines Key Responsibilities Develop and integrate AI/ML, Generative AI, and Agentic AI solutions . Build AI agents using AutoGen, MCP, and OpenAI technologies. Develop and integrate APIs and enterprise applications . Deploy AI solutions on Azure/AWS/Google Cloud Platform using Docker/Kubernetes. Monitor, troubleshoot, and optimize AI applications in production. Collaborate with engineering, data science, and product teams. Education Bachelor s or Master s degree in Computer Science, AI, Data Science, Engineering, or a related field .
Ideal Candidate:
Strong hands-on Python
+ AutoGen
+ MCP
+ OpenAI/LLMs
+ Microsoft AI
+ Cloud
+ API development experience.
Benefits
- Dental Insurance