AI Engineer – Level 2

Capital One

. Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products .

Posted 9/18/2026full-timeSan Jose • California • United StatesJuniorMid-Level💰 $135,600 - $168,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing AI and ML algorithms, with a strong focus on Python programming and cloud deployment. Capable of contributing to the technical vision and ensuring responsible AI practices in production environments.

Highest-signal resume keywords

AI And ML Algorithm DevelopmentPython ProgrammingCloud Deployment (AWS, Google Cloud, Azure)Foundation Model OptimizationResponsible AI Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Software DevelopmentMachine Learning AlgorithmsFoundation Model TrainingLarge Language Model InferenceCUDA ProgrammingScalable AI SolutionsModel EvaluationAutomated Regression TestingOptimization TechniquesTelemetry for Model Performance

Tools & Technologies

AWS UltraclustersHuggingfaceVectorDBsPyTorchAgentic AI Observability FrameworksModel Context Protocol

Industry Keywords

AI-Powered ProductsMulti-Agent WorkflowsSimilarity SearchGovernanceEthical DeploymentRetrieval-Augmented Generation (RAG)Embedding-Based Search Systems

Tech Stack

Tools & technologies

AWSAzureCloudJavaOpen SourcePythonPyTorchScalaC++Go

About the role

Key responsibilities & impact

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch
Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput of production AI systems
Contribute to the technical vision and long-term roadmap of foundational AI systems
Develop safe, high-quality prompts, evaluation datasets, and automated regression tests
Build deployment pipelines, testing environments, and telemetry for model performance
Document learnings and contribute to internal AI engineering standards for reproducibility, monitoring, and ethical deployment

Requirements

What you’ll need

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies, or a Master's degree in those fields
At least 2 years of experience programming with Python, Go, Scala, CUDA, or Java
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Preferred: Experience contributing to AI system components with cost, latency, throughput, and accuracy tradeoffs
Preferred: 2 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, or Azure
Preferred: Experience developing, delivering, and supporting AI components
Preferred: Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang
Preferred: Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Preferred: Knowledge of retrieval-augmented generation (RAG) and embedding-based search systems
Preferred: Familiarity with responsible-AI and safety practices
Preferred: Experience with Agentic AI observability and performance monitoring frameworks
Preferred: Experience with Agentic tools, Model Context Protocol, Agent to Agent interoperability and protocols, and Securing Agents

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Reasonable accommodations for applicants who require them