Senior Software Engineer, ML Dev Enablement (AI Agents)

1 hour, 51 minutes ago
Full-time
Senior
Software Development
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised

Description

  • Lead engineering efforts to scale and improve the cloud development environment platform for large-scale ML experimentation.
  • Own the platform’s scalability, reliability, and integration into the ML workflow.
  • Design and implement LLM-powered agents for tasks across the ML lifecycle, including code suggestions, log analysis, and autonomous debugging.
  • Integrate AI agents with Kubernetes, Ray, and AWS resources so they can interact safely and effectively with core infrastructure.
  • Partner with ML engineers to identify productivity bottlenecks and develop agentic automation solutions.
  • Build evaluation frameworks to measure agent performance, reliability, and security.
  • Serve as a subject matter expert on agentic AI within the infrastructure team.
  • Mentor junior engineers and help shape the long-term technical roadmap.

Requirements

  • 5+ years of professional software engineering experience, with a focus on backend systems, distributed systems, or infrastructure.
  • Hands-on experience building applications with LLM frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Expert-level proficiency in Python or Go.
  • Deep experience with Kubernetes and cloud infrastructure.
  • Proven experience with AWS or a similar cloud platform.
  • Ability to translate complex infrastructure problems into clear technical designs.
  • Ability to collaborate across engineering and research teams.
  • Experience with ML orchestration and training frameworks such as Ray or PyTorch (preferred).
  • Familiarity with Coder or other cloud development environments at scale (preferred).
  • Experience managing or working with high-performance GPU compute resources (preferred).

Interested in this position?

Apply directly on the company website

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