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Applied AI Engineer

HandshakeRecruitment Platform company
San FranciscoMid
Data & AI

About the role

Develop production-grade AI agents for enterprise customers.

  • Develop production-grade AI agents for enterprise customers, improving their workflows and operations.
  • Key Responsibilities Contribute to customer deployments and understand their business and workflows.
  • Build and deploy production-grade agents tailored to specific customer use cases.
  • Design and run evaluations to measure agent performance and iterate until results improve.
  • Work closely with senior engineers, product, and platform teams to deliver reliable solutions.
  • Surface insights from deployments to inform the platform and product roadmap.
  • Requirements 2-5 years of engineering experience with backend depth and exposure to AI or ML systems in production.
  • Hands-on experience building and shipping software in production.
  • Familiarity with agent architectures or LLM-based systems and a curiosity to learn more.
  • Comfort with ambiguity and a high ownership mentality.
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Tech stack

PythonTensorFlowscikit-learnKubernetesAWSCI/CD

Match insights

Tech:Python, TensorFlow, scikit-learn, Kubernetes, AWS
Level:Mid

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