Senior GenAI Platform Engineer — Scalable Production AI

U.S. Bank

Cupertino (CA)

Hybrid

USD 124,000 - 146,000

Full time

2 hours ago
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Benefits offered by this job

Healthcare (medical, dental, vision)
401(k) and retirement plan
Paid vacation and holidays
Sick and Safe Leave

Job summary

U.S. Bank is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions.

You will work with LLMs, RAG, prompts, and agentic AI to build production-ready AI systems that meet enterprise requirements for security, availability, and performance. The role involves building intelligent pipelines, leveraging LangChain/LangGraph and cloud platforms (Azure/AWS) while ensuring robust CI/CD and observability.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 7–9 years of experience in software or platform engineering.
  • 2+ years hands-on GenAI experience with LLMs and RAG architectures.
  • Experience with cloud platforms (Azure and/or AWS).
  • Strong Python development skills.
  • Proficiency with Docker, Kubernetes, and Infrastructure as Code tools.

Responsibilities

  • GenAI solution development using LLMs, RAG, prompts, and agentic AI concepts.
  • Build pipelines with LangChain, LangGraph, and Agent Service frameworks.
  • Ensure scalability, security, and reliability for production GenAI systems.
  • Contribute to end-to-end GenAI lifecycle: design, deployment, and optimization.
  • Develop cloud-native GenAI systems across Azure and AWS; enable deployment, monitoring, and observability.
  • Develop scalable Python applications and CI/CD workflows; participate in code reviews.

Job description

U.S. Bank is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions.

You will work with LLMs, RAG, prompts, and agentic AI to build production-ready AI systems that meet enterprise requirements for security, availability, and performance. The role involves building intelligent pipelines, leveraging LangChain/LangGraph and cloud platforms (Azure/AWS) while ensuring robust CI/CD and observability.

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