Senior AI Engineer (FM Hosting, LLM Inference)
$229.9k - $286.2kCapital One
Salary: $229,900 - 286,200 per year Requirements:
- Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus a minimum of 6 years of experience in developing AI and ML algorithms or technologies, or a Masters degree in the same fields with at least 4 years of experience.
- At least 6 years of experience in programming with Python, Go, Scala, or Java.
- 7 years of experience deploying scalable AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent).
- Experience in designing, developing, integrating, delivering, and supporting complex AI systems.
- Proven ability to lead and guide an engineering team and influence cross-functional stakeholders.
- Familiarity with AI and ML algorithm development (e.g., LLM Inference, Similarity Search, Guardrails) using Python, C++, C#, Java, or Golang.
- Experience in optimizing training and inference software for improved hardware efficiency, latency, throughput, and cost.
- Strong interest in current AI research and the practical application of novel techniques.
- Exceptional communication and presentation skills, with the capability to explain complex AI concepts clearly to peers.
- Collaborate with a diverse team of engineers, research scientists, program managers, and product managers to deliver AI-driven products that transform both associate workflows and customer interactions with Capital One.
- Design, develop, test, deploy, and maintain AI software components, including foundation model training, large language model inference, similarity search, and model evaluation.
- Utilize a wide range of Open Source and SaaS AI technologies, such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
- Create and implement advanced LLM optimization techniques to enhance scalability, cost-efficiency, latency, and throughput of large-scale AI systems.
- Contribute to the overarching technical vision and long-term roadmap of foundational AI systems at Capital One.
- AI
- AWS
- Azure
- C#
- Cloud
- Golang
- Hardware
- Support
- Java
- LLM
- Machine Learning
- PyTorch
- Python
- Scala
More:
At Capital One, we are at the forefront of creating responsible AI systems that redefine banking for good. Our commitment to investing in cutting-edge technology and top-notch talent has established us as leaders in machine learning, enabling personalized customer experiences and operational efficiency. The Intelligent Foundations and Experiences (IFX) team plays a crucial role in actualizing our AI vision, collaborating closely with various partners across the organization to develop proprietary solutions that benefit millions of customers. We offer competitive salaries, performance-based incentives, and a comprehensive benefits package designed to support our employees total well-being in a dynamic and inclusive workplace.
last updated 32 week of 2026
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