Senior AI/ML Engineer — RAG, LLMs & Cloud-Native Platforms

Relha LLC

Cincinnati, Northern (OH, KY)

Hybrid

USD 112,000 - 131,000

Full time

6 days ago
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Benefits offered by this job

Life Insurance
Disability Insurance
Parental Leave
401(k) Plan
Paid Vacation
Paid Holidays
Adoption Assistance

Job summary

U.S. Bank is seeking a Senior AI Engineer to design, implement, and operate ML models, LLMs, and RAG-based solutions. You will build AI platforms, APIs, and data pipelines while ensuring Responsible AI and regulatory compliance in a highly regulated environment.

The role emphasizes cloud-native architectures, containerized apps with Docker/Kubernetes, and collaboration with product, data science, and governance teams. On-site at a U.S. Bank location several days weekly.

Qualifications

  • Bachelor’s degree or equivalent work experience.
  • 5–6 years of relevant experience in software development and AI.
  • Strong software engineering skills with Python and Java.

Responsibilities

  • Design, develop, train, deploy, and maintain AI models and ML pipelines.
  • Build AI powered APIs, microservices, and data integrations.
  • Ensure compliance with Responsible AI, security and governance in a regulated environment.
  • Collaborate across engineering, product, data science, and governance teams.
  • Work from a U.S. Bank location three or more days per week.

Skills

Python
Java
Generative AI
LLMs
RAG
LangChain
LangGraph
Vector databases
Azure AI Search
Docker
Kubernetes
React
APIs

Education

Bachelor's degree

Tools

LangChain
LangGraph
Azure AI Services

Job description

U.S. Bank is seeking a Senior AI Engineer to design, implement, and operate ML models, LLMs, and RAG-based solutions. You will build AI platforms, APIs, and data pipelines while ensuring Responsible AI and regulatory compliance in a highly regulated environment.

The role emphasizes cloud-native architectures, containerized apps with Docker/Kubernetes, and collaboration with product, data science, and governance teams. On-site at a U.S. Bank location several days weekly.

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