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As an AI Software Engineer in our R&D group, you will be a key architect of our AI future. You will be instrumental in building Taboola’s proprietary, in-house agentic framework from the ground up. You will design and develop the core infrastructure that enables Large Language Models (LLMs) to reason, plan, and execute complex tasks. This is a unique opportunity to build foundational technology that will directly influence how billions of people discover the internet.
Job Responsibility:
Design, develop, and maintain Taboola’s proprietary agentic framework
Research and implement novel approaches to agentic planning, execution, and self-correction
Work closely with other engineers and product stakeholders to understand their needs and build a powerful, usable internal platform
Set the standard for agentic architecture at Taboola
Offer guidance on best practices for building foundational infrastructure to be reliable, scalable, and secure
Create clear documentation and present architectural designs and results to stakeholders across the company
Requirements:
3+ years of professional programming experience in Python, Java
Strong foundation in data structures, algorithms, and building scalable distributed systems
Deep, foundational understanding of how to build agentic systems
Ability to design and implement core components including task decomposition engines, tool schedulers, and memory modules
Strong analytical skills with experience in performance analysis and debugging complex, non-deterministic systems
Ability to work effectively in a team environment with excellent communication and presentation skills
BS or MS in Computer Science, Artificial Intelligence, or a related field, or equivalent experience
Nice to have:
Advanced experience with prompt engineering and optimization specifically for tool-using agents
Experience building complex, event-driven, or distributed systems
Familiarity with other major LLM provider APIs (e.g., Anthropic, Google Gemini, OpenAI GPT)
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