JOB DETAILS

Applied AI Engineer

CompanyUnframe
LocationTel-Aviv
Work ModeOn Site
PostedJuly 19, 2026
About The Company
Unframe is the Managed AI Delivery Platform that turns enterprise needs and use cases into fully tailored, production-ready AI solutions in days. Powered by Unframe's deep technical building blocks and its open platform, The Framery, every solution integrates seamlessly with each customer's existing AI program and core systems — scoping, designing, and delivering against the company's data, workflows, and governance frameworks. Solutions run in the customer's cloud, on-premises, or as fully managed SaaS, with no dependency on a specific LLM. Unframe helps enterprises eliminate operational bottlenecks and capture the business value of AI, from targeted use cases to complete AI transformation. Co-founded in 2024 by Shay Levi, Larissa Schneider, and Adi Azarya, Unframe is headquartered in Cupertino, California, with offices in Tel Aviv and Berlin. Visit unframe.ai.
About the Role

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV.

What You'll Do

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.

About the role:

  • Implement workflows and configure model behavior for customer solutions.
  • Build integrations between AI logic and deterministic building blocks.
  • Work with platform and research teams to surface platform-level improvements.

What you’ll do:

  • 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.

Nice to Have

  • 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.

Why join us?

  • Real ownership from day one. Drive decisions, shape ideas and make them work.
  • Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
  • You'll have the opportunity to write and build what comes next.
Key Skills
PythonTypeScriptRAGVector DatabasesPrompt DesignLLMMachine LearningSoftware EngineeringData PipelinesMulti-agent SystemsAPI IntegrationSystem Integrations
Categories
SoftwareTechnologyEngineeringData & AnalyticsConsulting
Job Information
📋Core Responsibilities
Translate business problems into AI-driven solutions by implementing workflows and configuring model behavior for customers. Bridge the gap between model capabilities and real-world impact through integrations and platform improvements.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
169
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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