AI Engineer

Openkyber, LLC; Alaska; On-site; USD 120,000 - 165,000; Full time

Job summary

Openkyber, LLC in Redmond, WA is seeking an experienced AI Engineer to design, develop, integrate, and deploy AI-powered solutions focused on Generative AI, Agentic AI, LLMs, and Microsoft AI technologies.

You will build AI agents with AutoGen, MCP, and OpenAI APIs, deploy on Azure or AWS with Docker/Kubernetes, and collaborate with engineering, data science, and product teams to productionize robust AI applications.

Qualifications

• Python 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 fundamentals with practical experience.
• NLP and/or Computer Vision exposure.
• Microsoft AI Tools/Technologies hands-on experience is required.
• Cloud platforms: Azure preferred; AWS/GCP acceptable.
• Docker & Kubernetes in production environments.
• API design and development of REST APIs and system integration.
• Debugging and production troubleshooting skills.
• Data engineering, data processing and pipeline concepts.
• MLOps / CI/CD for model deployment and automation.

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 using Docker/Kubernetes.
• Monitor, troubleshoot, and optimize AI applications in production.
• Collaborate with engineering, data science, and product teams.

Skills

Python

Agentic AI

MCP

OpenAI/LLMs

ML/DL fundamentals

NLP/CV

Microsoft AI

Azure

Docker

Kubernetes

API development

Debugging

Data engineering

MLOps/CI/CD

Tools

Docker

Kubernetes

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.