Lead AI Platform Engineer: Scale ML Systems

Leadout Capital

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

Leadout Capital is seeking a software engineer with a strong AI/ML focus to contribute across the full product lifecycle. You will write clean, scalable code, collaborate with world-class engineers, and rotate with customers to implement impactful solutions leveraging Salesforce, open source tools, and custom platforms.

You will design and deploy APIs and AI services, work with cloud deployments, and mentor peers while solving complex problems in a fast-growing environment.

Qualifications

  • B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred).
  • 5+ years of industry experience in Software Engineering with a focus on AI/ML (7-12 years for Lead, 4-8 years for Senior).
  • Proficiency in multiple programming languages such as Python, Go, Java, or C++.
  • Strong background in APIs, data modeling, and databases.
  • Experience with production cloud deployments such as AWS, GCP, or OCI.

Responsibilities

  • Work alongside motivated and talented engineers to bring cutting-edge theory into customer-facing practice
  • Build tools and pipelines to support ML and AI efforts
  • Design, build, deploy, and maintain production software and AI services, such as APIs, UIs, and agentic evaluators
  • Roll out scalable cloud architectures and the software that runs on them
  • Help with end-user requirements gathering and executive presentations
  • Understand the toughest customer problems and devise thoughtful solutions

Skills

Python
Go
Java
C++

Education

B.S. in Computer Science with AI coursework

Tools

Kubernetes
Envoy
Grafana
React
Redux

Job description

Leadout Capital is seeking a software engineer with a strong AI/ML focus to contribute across the full product lifecycle. You will write clean, scalable code, collaborate with world-class engineers, and rotate with customers to implement impactful solutions leveraging Salesforce, open source tools, and custom platforms.

You will design and deploy APIs and AI services, work with cloud deployments, and mentor peers while solving complex problems in a fast-growing environment.

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