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# AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)

- **Company:** Capital One Financial Corporation
- **Location:** Rancho Cucamonga, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Distributed Systems, Python (Programming Language), Software Product Management, Reinforcement Learning, Private Cloud Environment, Google Cloud, Transfer Learning, Large Language Models, AI Platforms, Information Technology, Data Lineage, Low Latency, Model Inference, Golang
- **Published:** November 10, 2026
- **Apply:** https://www.juju.com/job/28_25197_bee34c71cfe06496b7812c90aee419f9

## About the Role

You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
You have the courage to share new ideas even when they are unproven* You are deeply Technical.
You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss* You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown****Basic Qualifications:***** Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master'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* At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java****Preferred Qualifications:***** Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy* 6 years of experience
deploying scalable and responsible AI solutions on cloud platforms (e.g.
AWS, Google Cloud, Azure, or equivalent private cloud)* Experience designing, developing, delivering, and supporting AI services* Experience developing AI and ML algorithms or technologies (e.g.
LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Experience in building agentic AI systems and agentic workflows* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production* Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale* Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules* Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms***Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.***The minimum and maximum full-time annual