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4 ai ml infrastructure engineer jobs at 4 companies in Eagle Mountain, UT

1mo
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Sr. Applied AI Engineer
Salt Lake City, Utah, United States
OnsiteFull Time
O.C. Tanner
O.C. Tanner: Provides employee recognition software and corporate award manufacturing services.
5+ YOE5+ years software engineering with strong Python, 2+ years production ML/agentic AI, experience building agents, RAG, evaluation, safety, observability, and cloud infrastructure.
Python, FastAPI, LangChain, LangGraph, GraphQL, REST, PostgreSQL, Redis, Kafka, Kubernetes, AWS Bedrock, OpenTelemetry, Terraform, Langfuse, CrewAI, AutoGen
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1w
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AI Software Engineer
Houston or Park City
$115k-$145k/yr RemoteFull Time
Arva Intelligence
Arva Intelligence: Machine learning platform for optimizing and measuring regenerative agriculture.
2+ YOERequires 2–5 years of professional software development, strong Python, production AI/ML experience, relational databases and SQL, RESTful APIs, cloud infrastructure, and a bachelor's degree or equivalent experience.
LangGraph, LangChain, AWS Bedrock AgentCore, Python, Mixture-of-Experts (MoE), Django, PostgreSQL, PostGIS, TypeScript, Vue.js, JavaScript, GDAL, rasterio, GeoPandas, Shapely, AWS, Lambda, S3, ECS/Fargate, RDS, Batch, SQS/SNS, Step Functions, IAM, SQL, RESTful APIs, CI/CD
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1mo
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Senior Site Reliability Engineer, AI Infrastructure
Mississauga or Salt Lake City
$139k-$155k/yr HybridFull Time
PointClickCare
PointClickCare: Develops cloud-based healthcare software for senior care providers.
5+ YOE5+ years SRE/platform experience; strong observability and incident response; Terraform and GitOps; cloud platform experience (Databricks, Azure ML, Kubernetes); platform security and automation skills; strong communication.
Databricks, Azure AI, Azure ML, Kubernetes, Terraform, GitOps, CI/CD
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2w
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IT Support/Solutions Specialist Job
Salt Lake City, Utah, United States
$57k-$90k/yr OnsiteFull Time
Armstrong World Industries
Armstrong World IndustriesNYSE: AWI: Designs and manufactures commercial and residential ceiling and wall solutions.
High school diploma or GED required; bachelor's degree in computer science, engineering, or related field preferred. Requires application, infrastructure, manufacturing systems, AI/ML, and Microsoft Office knowledge.
Copilots, LLMs, .NET, SQL Server, C#, HTML, JavaScript, Power BI, PowerShell, TFS, Git, Infor Visual, Microsoft Azure AI Fundamentals, Microsoft Office, ITIL, Microsoft SQL
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