Role overview

Machine Learning Engineer, Agentic AI

Requirements and responsibilities

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You Will Get To:

  • Design and build scalable AI infra and services to power agentic AI applications
  • Develop advanced reasoning and agentic capabilities that enable AI agents to operate autonomously and adaptively in dynamic, real-world environments
  • Implement monitoring, evaluation, and optimization processes to ensure reliability and responsiveness in production
  • Stay at the forefront of agentic AI innovation, bringing emerging techniques into practical application to shape product direction.
  • Collaborate closely with applied scientists, engineers, and product teams to translate experimental prototypes into robust production systems
  • Contribute to best practices in distributed ML systems, scalable architecture, and responsible AI deployment

Who you are

  • A Bachelor’s or Master’s in Computer Science or a related field
  • 2+ years of experience building production ML systems and services
  • Experience with AI agent frameworks, orchestration, or multi-step reasoning applications
  • Strong programming skills in Python and experience with ML/AI frameworks such as TensorFlow, PyTorch, LangChain, and LangGraph
  • Experience designing and operating scalable, cloud-based ML infrastructure
  • Ability to work in cross-functional teams to ship impactful AI-driven features
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Browse stack
FocusMachine Learning EngineerRole area
Seniority signalSeniorCandidate level
StackPythonPrimary skills
Location1 accepted countryEligibility

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