AI Researcher

A stealth, well-funded early-stage Israeli AI startup operating at the bleeding edge of Generative AI and Agentic Coding.

Founded and led by serial tech entrepreneurs and seasoned AI researchers, and backed by substantial early-stage venture funding from premier global investors, the company is engineering core foundational technologies.

The proprietary platform leverages autonomous agent architectures to empower non-technical enterprise users to build and orchestrate complex automated workflows through natural language.

The research and engineering culture fosters high technical autonomy within an intimate, elite core pod, solving foundational algorithmic challenges in applied LLM reasoning, automated code generation, and agent harness design.

Located in the Central District directly adjacent to primary train transit, operating on a hybrid model with two days working from home.

Role Description-

• Joining as a Foundational AI Researcher & Engineer, reporting directly to the Chief Science Officer (CSO) within a core research pod shaping the foundational technology and algorithmic roadmap.
• Conducting cutting-edge Applied AI Research combined with hands-on software development in Python, translating theoretical advancements into production-grade systems.
• Designing, optimizing, and evaluating specialized LLM architectures for Developer Tools, with a deep focus on Code Generation, Syntax Awareness, and Program Synthesis.
• Architecting and scaling Agent Harnesses, autonomous multi-step execution environments, self-correction loops, and tool-augmented agentic frameworks.
• Formulating novel empirical benchmarks, evaluation methodologies, and experiment tracking to systematically enhance model reasoning and code accuracy.
• Tackling complex, ambiguous, open-ended research problems with high ownership, influencing core product architecture from an early stage.

Requirements

• 2 years of proven hands-on experience in AI Research / Applied Machine Learning roles – Mandatory
• Extensive hands-on practical research and programming experience in Python – Mandatory
• Demonstrated research or applied expertise with Large Language Models (LLMs), Generative AI, or Foundation Models – Mandatory
• M.Sc. (or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, Bioinformatics, Industrial Engineering & Management, or an equivalent quantitative discipline – Mandatory
• Strong mathematical and algorithmic foundations across Deep Learning, statistical learning, and modern NLP architectures – Mandatory
• Proven ability to work autonomously on open-ended problems within fast-paced startup or research environments – Mandatory
• Full-time commitment to working in a hybrid model (3 days on-site in the Central District adjacent to train transit, 2 days remote) – Mandatory
• Fluent, professional technical communication and analytical writing skills in English (written and verbal) – Mandatory