Senior AI/ML Systems Engineer — GPU Serving

JPMorganChase

Seattle (WA)

On-site

USD 130,000 - 170,000

Full time

14 days+
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Job summary

JPMorganChase is seeking a Software Engineer III within the Commercial and Investment Banking team to design, develop, and deliver secure, scalable technology products. You will work on a fast‑paced agile team, applying ML and AI-assisted tooling to build robust services and APIs.

The role emphasizes Python proficiency, cloud-native skills (Docker, Kubernetes), and experience with AWS/GCP, distributed systems, and leadership to elevate team quality.

Qualifications

  • Formal training or certification on software engineering concepts with 5+ years applied experience.
  • Professional software development experience, with emphasis on ML systems.
  • Hands‑on experience with enterprise AI‑assisted development tools and evaluating AI outputs for correctness, performance, and security.
  • Experience guiding peers on safe and effective AI usage within engineering practices.
  • Experience designing and developing scalable systems and services (web services, APIs).
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Experience with cloud-native technologies (Docker, Kubernetes).
  • Experience with AWS and/or GCP.
  • Knowledge of system design fundamentals (reliability, scalability, performance).
  • Experience with distributed systems and Cassandra/noSQL databases.
  • Mentorship and technical leadership in setting engineering standards.

Responsibilities

  • Executes software solutions, design, development, and troubleshooting beyond routine approaches.
  • Creates secure, high-quality production code and maintains algorithms aligned with systems.
  • Uses enterprise AI-assisted development tools to improve code quality, speed, and productivity, with peer reviews and secure coding.
  • Applies SDLC tooling and AI-assisted development to boost automation value.
  • Produces architecture/design artifacts for complex apps and ensures design constraints are met.
  • Gathers and analyzes data to create visualizations and reports for continuous improvement.
  • Identifies hidden data patterns to drive improvements in code hygiene and architecture.

Skills

Python
ML frameworks (TensorFlow, PyTorch)
AI-assisted development
Distributed systems
APIs/web services
Cloud-native technologies (Docker, K8s
AWS/GCP
Mentorship/leadership

Tools

Docker
Kubernetes
TensorFlow Serving
TorchServe
Triton Inference Server
AWS
GCP

Job description

JPMorganChase is seeking a Software Engineer III within the Commercial and Investment Banking team to design, develop, and deliver secure, scalable technology products. You will work on a fast‑paced agile team, applying ML and AI-assisted tooling to build robust services and APIs.

The role emphasizes Python proficiency, cloud-native skills (Docker, Kubernetes), and experience with AWS/GCP, distributed systems, and leadership to elevate team quality.

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