Question
2-5

Applied AI Engineer

4/26/2026

You will translate business problems into AI-driven solutions by implementing workflows and configuring model behavior. You will also build integrations between AI logic and deterministic building blocks while collaborating with research teams.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

No

About The Company
Unframe’s Managed AI Delivery Platform brings to life tailored AI solutions in days. Fast, scalable, and built for the enterprise. No data shared, no upfront cost, no compromises.
About the Role

About Us

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.

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.

Responsibilities

  • 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.

Requirements

  • 4+ years experience in software engineering or research roles.
  • Experience building or integrating LLM-based solutions.
  • Ability to rapidly understand complex domains and translate them into structured prompts.
  • Comfortable working with real-time applications and production systems.

Nice to Have

  • Experience working with enterprise or B2B customers
  • Familiarity with prompt design, evaluation, and iteration workflows
  • Experience working with production AI systems or real-time applications
  • Background in data pipelines, APIs, or system integrations
  • Experience in fast-paced startup environments
Key Skills
Software EngineeringLLMPrompt EngineeringAI WorkflowsSystem IntegrationData PipelinesAPIsProduction SystemsReal-time ApplicationsB2BEnterprise SoftwarePrompt DesignModel Evaluation
Categories
TechnologySoftwareEngineeringData & AnalyticsScience & Research
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