✦ Luna Orbit — AI & Machine Learning

Building Engineer

at ABM Industries

📍 Seattle, WA Unknown 💰 $38 – $38 USD / year Posted March 13, 2026
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Position Details

Salary $38 – $38 USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

About this role

Serve as a technical leader in AI, architecting and deploying advanced Generative AI and Agentic AI solutions, focusing on RAG pipelines and cloud-native ML infrastructure.

Key Responsibilities

  • Design multi-agent systems
  • Implement RAG pipelines
  • Lead MLOps infrastructure
  • Optimize ML performance
  • Ensure secure AI system architecture

Technical Overview

Involves designing and implementing Generative AI, LLMs, RAG pipelines, and deploying scalable AI systems using Azure, Kubernetes, Docker, and cloud platforms.

Ideal Candidate

The ideal candidate is an experienced AI engineer with expertise in Generative AI, Large Language Models, and RAG pipelines, with a strong background in deploying scalable AI solutions in cloud environments and leading high-impact projects.

Must-Have Skills

Generative AILLM implementationRAG pipelinesML systems optimizationCloud-native infrastructure

Nice-to-Have Skills

MLOpsAzureGoogle CloudDockerKubernetes

Tools & Platforms

Azure Machine LearningKubeflowDockerAzure Container AppsGoogle Cloud RunMicrosoft Semantic KernelAzure AI FoundryGoogle ADK

Required Skills

Generative AILLMRAGMLopsAzure Machine LearningKubernetesDockerCloud-nativeAI SystemsAgentic AI

Hard Skills

Generative AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Azure Machine LearningKubernetesDockerMLopsPythonPolarsVector DatabasesNoSQLAzure OpenAIGemini embeddingsMicrosoft Semantic KernelAzure AI FoundryGoogle Agent Development Kit (ADK)

Soft Skills

LeadershipProblem SolvingCommunicationCollaborationInnovation

Industry & Role

Industry Technology / Software
Job Function AI engineering and system architecture for Generative AI solutions

Keywords for Your Resume

Generative AILarge Language Models (LLM)Retrieval-Augmented Generation (RAG)MLopsAzure Machine LearningKubernetesDockerCloud-nativeAI SystemsAgentic AIAI EngineerData ScienceMLOpsAzureGoogle CloudLLM implementationRAG pipelinesML systems optimizationCloud-native infrastructure

Deal Breakers

Lack of experience with Generative AI or LLMs, No cloud deployment experience, Unfamiliar with MLOps tools

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