
Applied AI Engineer
Unframe · Tel Aviv-Yafo, Tel Aviv District, Israel
- On site
- Full-time
- $150,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
Job highlights
- Build AI-powered products for real-world challenges.
- Translate business problems into AI solutions.
- Implement AI workflows and configure models.
- Integrate AI logic with existing systems.
- Collaborate across engineering, product, and AI.
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/competency
- Applied AI Engineer
- AI Solutions
- LLM Integration
- Prompt Engineering
- Software Engineering
- Production Systems
- Real-time Applications
- Customer Solutions
- AI Workflows
- AI Products
Skills & topics
- Applied AI Engineer
- AI Engineer
- AI
- Machine Learning
- LLM
- Prompt Engineering
- Software Engineering
- Production Systems
- Real-time Applications
- Tel Aviv
- Unframe
How to get hired
- 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.
Technical preparation
Practice building and integrating LLM solutions.,Develop skills in prompt engineering and domain understanding.,Gain experience with real-time and production systems.,Familiarize with AI workflow implementation.
Behavioral questions
Describe a complex domain you understood quickly.,How do you translate business problems into AI solutions?,Share an experience integrating AI into production.,How do you collaborate with cross-functional teams?
Frequently asked questions
- What are the key responsibilities of an Applied AI Engineer at Unframe?
- As an Applied AI Engineer at Unframe, you will implement AI workflows, configure model behavior for customer solutions, build integrations between AI logic and deterministic building blocks, and collaborate with platform and research teams to improve the AI platform. This role focuses on translating business problems into AI-driven solutions and bridging the gap between model capabilities and real-world impact.
- What qualifications are required for the Applied AI Engineer position at Unframe?
- Unframe requires candidates for the Applied AI Engineer role to have 4+ years of experience in software engineering or research. Essential skills include experience building or integrating LLM-based solutions, the ability to rapidly understand complex domains and translate them into structured prompts, and comfort working with real-time applications and production systems.
- Is this Applied AI Engineer role remote or on-site?
- The Applied AI Engineer role at Unframe is an on-site position, based in their Tel Aviv office. Collaboration is a key aspect of their work culture, with teams working closely together to deliver AI-powered products.
- What kind of AI experience is most relevant for this role?
- The most relevant AI experience for this Applied AI Engineer role involves building or integrating LLM-based solutions. Familiarity with prompt design, evaluation, iteration workflows, and working with production AI systems or real-time applications is also highly valued.
- What is Unframe's mission and what kind of products do they build?
- Unframe's mission is to build AI-powered products that address real-world challenges. They focus on developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery, working closely across engineering, product, and AI.
- How important is collaboration in this Applied AI Engineer role?
- Collaboration is very important at Unframe. The Applied AI Engineer will work closely with customers and internal teams, including platform and research teams, to develop and deliver AI-driven solutions effectively. The on-site environment in Tel Aviv fosters this close collaboration.
- What does 'implementing workflows and configuring model behavior' mean for an Applied AI Engineer?
- For an Applied AI Engineer at Unframe, this means taking business requirements and translating them into actionable AI workflows. It involves setting up and adjusting how AI models operate to meet specific customer needs and solve defined problems, often involving prompt engineering and integration with other system components.