Senior ML Engineer - AI Orchestration & SDK Platform Lead

Quantiphi

Dallas (TX)

On-site

USD 120,000 - 190,000

Full time

14 days+
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Job summary

Quantiphi seeks a Senior Machine Learning Engineer to lead evolution of Python SDK frameworks and Agentic AI capabilities. You will build production-grade tools enabling autonomous systems, leveraging PyVegas App and Galileo to deliver scalable, robust software architecture.

Responsibilities include SDK framework enhancements, agentic workflow development, high-performance API design with FastAPI, and robust CI/CD automation using Jenkins and GitLab Runners.

Qualifications

  • Mastery of Python and its ML ecosystem, with production-grade FastAPI services.
  • Experience building and scaling agentic workflows and multi-agent systems.
  • Hands-on DevOps/CI/CD with Jenkins and GitLab Runners.
  • Experience with PyVegas templates and Galileo evaluation platforms.
  • Ability to design scalable infrastructure and maintain complex SDKs.
  • Strong analytical skills to debug SDK interactions.

Responsibilities

  • SDK Framework Development: Lead design and implementation of feature enhancements for internal Python SDK frameworks.
  • User Support & Maintenance: Provide expert-level technical support for the Python SDK ecosystem.
  • Agentic Orchestration: Develop and scale agentic workflows using modern Agentic Frameworks.
  • High-Performance APIs: Architect and deploy scalable APIs using FastAPI for ML services and agent interactions.
  • CI/CD Automation: Design and maintain automated pipelines using Jenkins and GitLab Runners.
  • Observability & Prototyping: Use Galileo for model evaluation and observability in production.

Skills

Python
ML deployment
API design
DevOps
Agentic workflows

Tools

FastAPI
Jenkins
GitLab Runners
Docker/Kubernetes

Job description

Quantiphi seeks a Senior Machine Learning Engineer to lead evolution of Python SDK frameworks and Agentic AI capabilities. You will build production-grade tools enabling autonomous systems, leveraging PyVegas App and Galileo to deliver scalable, robust software architecture.

Responsibilities include SDK framework enhancements, agentic workflow development, high-performance API design with FastAPI, and robust CI/CD automation using Jenkins and GitLab Runners.

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