4 ai applications engineer jobs at 4 companies in Modesto, CA
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Jr. AI Engineer
Pleasanton, California, United States
$110k-$140k/yr OnsiteFull Time
0+ YOE0–2 years preferred developing agentic, LLM, and NLP applications; proficiency in Python, machine learning, deep learning, and generative AI; exposure to cloud platforms and containerization.
Python, AWS, GCP, Azure, Docker, Kubernetes, LLM, NLP, machine learning, deep learning, generative AI, computer vision
1w
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Senior Application Developer
Sacramento County or Elk Grove or Sacramento or Lodi or United States
$10k-$13k/mo HybridFull Time
Expert-level software architect required for mission-critical AI systems, with experience in enterprise generative AI, Azure services, application development, security, databases, SDLC, Agile, and Scrum.
Artificial Intelligence (AI), MCP (Model Context Protocol), RAG, WinUI, CoPilot studio, Azure OpenAI, Azure speech services, Microsoft Foundry, GPT-realtime-2.1, GPT-Image-2, GPT 5.1, GPT-Image-1-Mini, PowerPlatform, HL7, Microsoft ASP.NET, MS IIS, MS SSRS, MS SQL Server, MS .Net Framework, C#, Visual Basic, Web Services, MS Visual Studio, MS Windows OS, XAML, JSON, MSIX, RAG API, Terminal Services, PowerShell
3w
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Lead Principal Application Software Engineer- Forward Deployed Engineer
Pleasanton or California or United States
$105k-$264k/yr OnsiteFull Time
10+ YOE10+ years designing and delivering enterprise data platforms; expert with Oracle AI Data Platform, Databricks, Snowflake, Apache Spark, Delta Lake, cloud platforms, and stakeholder communication.
Oracle AI Data Platform, OCI services, Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python, SQL, Scala, Java, OCI - DevOps, OCI Generative AI, OCI - Generative AI Agent Hub
10h
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Atomistic and Data-Driven Modeling of Materials for Energy Applications - Postdoctoral Researcher
Livermore, California, United States
$123k/yr OnsiteFull Time, Temporary
Ph.D. in materials science, chemistry, physics, mechanical engineering, or related field; experience with electronic structure theory, large-scale molecular dynamics, high-performance computing, and advanced modeling or machine-learning methods.
Density Functional Theory (DFT), Molecular Dynamics, High-Performance Computing, Machine Learning, Kinetic Monte Carlo, Phase-Field Modeling, Bayesian Optimization, Uncertainty Quantification, Sensitivity Analysis, Pareto Front Analysis, Artificial Intelligence (AI)