AI Applied Researcher

Autofleet

. Design, build, and deploy AI agents that automate and augment high-value workflows across business functions.

Posted 9/23/2026full-timeTel Aviv-Yafo • IsraelMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents, with a strong focus on Generative AI and large language models. Proficient in agent evaluation frameworks and collaboration with engineering teams to enhance production pipelines.

Highest-signal resume keywords

Applied AI/ML ExperienceGenerative AILarge Language ModelsAgentic System DesignAI Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningContext EngineeringTool EngineeringEvaluation FrameworksMemory ManagementMulti-Step PlanningVoice AI TechnologiesSpeech RecognitionText-to-Speech Systems

Soft Skills

Problem-SolvingCreative ThinkingAnalytical Skills

Tools & Technologies

HuggingFace TransformersLangChainScikit-learnPyTorchVector Databases

Certifications & Qualifications

Master’s/Ph.D. in Computer ScienceElectrical EngineeringMachine LearningInformation Systems Engineering

Industry Keywords

AI AgentsAutomationHigh-Value WorkflowsHuman-in-the-LoopAudit Trails

Tech Stack

Tools & technologies

PyTorchScikit-Learn

About the role

Key responsibilities & impact

Design, build, and deploy AI agents that automate and augment high-value workflows across business functions.
Own the end-to-end agent stack, including tool use, memory management, multi-step planning, human-in-the-loop escalation patterns, guardrails, and audit trails.
Define agent evaluation frameworks measuring task completion, accuracy, hallucination rates, latency, and business impact.
Iterate on agent behavior based on real usage data and stakeholder feedback.
Collaborate with engineering teams to design, build, and maintain production pipelines.
Stay current with developments in AI and machine learning, particularly large language models, and explore applications for improving products and services.

Requirements

What you’ll need

Master’s/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
3+ years of applied AI/ML experience with a focus on Generative AI, LLMs, and deep learning.
Depth in agentic system design, retrieval-augmented generation, context and tool engineering, and rigorous evaluation.
Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch).
Familiarity with embedding models and vector databases.
Exceptional problem-solving, creative thinking, and analytical skills.
Experience with voice AI technologies, speech recognition, or text-to-speech systems - strong advantage.