Applied AI Engineer
Unframe
Job Overview
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Job 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
Key skills/competency
- Applied AI Engineer
- AI Solutions
- LLM Integration
- Prompt Engineering
- Software Engineering
- Production Systems
- Real-time Applications
- Customer Solutions
- AI Workflows
- AI Products
How to Get Hired at Unframe
- Tailor your resume: Highlight experience with LLM integration and production systems for the Applied AI Engineer role.
- Showcase prompt engineering skills: Detail your ability to understand complex domains and translate them into structured prompts.
- Demonstrate production readiness: Emphasize experience with real-time applications and working in production environments.
- Research Unframe: Understand their mission of building AI-powered products and their on-site culture in Tel Aviv.
- Prepare for technical interviews: Be ready to discuss AI workflows, model configuration, and integration strategies.
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