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Applied AI Engineer at Unframe
Tel-Aviv, Tel-Aviv District, Israel -
Full Time

Start Date

Immediate

Expiry Date

25 Jul, 26

Salary

0.0

Posted On

26 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Software Engineering, LLM, Prompt Engineering, AI Workflows, System Integration, Data Pipelines, APIs, Production Systems, Real-time Applications, B2B, Enterprise Software, Prompt Design, Model Evaluation

Industry

technology;Information and Internet

Description
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
Responsibilities
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.