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unframe
AI

Applied AI Engineer

unframe · תל אביב -יפו, TA, IL

Actively hiring Posted about 1 month ago

Responsibilities

As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.

Basic qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in software engineering, data science, machine learning, or research roles (including relevant academic experience).
  • Experience building and delivering production solutions to customers using Python, TypeScript, or similar.
  • Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation (RAG)-like architectures.
  • Experience with prompt design, evaluation, and iteration workflows.
  • Ability to rapidly understand complex domains and read and implement research papers.
  • Comfortable working with real-time applications and production systems.

Preferred qualifications

  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Google ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.
  • Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Background in data pipelines, APIs, or system integrations.
  • Experience working with enterprise or B2B customers.
  • Experience working in fast-paced startup environments.

About the company

At Unframe, we build AI-powered products that address real-world challenges. Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.

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