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Lead AI Engineer – MLX, Agentic AI, Gen AI platform Services

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Location: California

Responsibilities

  • Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One.
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultra clusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  • Invent and introduce state‑of‑the‑art LLM optimization techniques to improve the performance—scalability, cost, latency, throughput—of large‑scale production AI systems.
  • Contribute to the technical vision and the long‑term roadmap of foundational AI systems at Capital One.
Requirements
  • 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, or Java
  • 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 vector databases, guardrails, memory) using Python, C++, C#, Java, 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
  • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
Hard Skills
  • AI algorithms
  • ML algorithms
  • Python
  • Go
  • Scala
  • Java
  • C++
  • C#
  • LLM inference
  • Similarity search
Soft Skills
  • Collaboration
  • Communication
  • Problem‑solving
  • Innovation
  • Technical vision
Certifications & Qualifications
  • Bachelor's degree in Computer Science
  • Master's degree in Computer Science
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