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Dream

Senior Applied Scientist – Agentic AI, NLP

Dream

. Research and develop agentic capabilities, including model and tool orchestration, deep research, retrieval, and information enrichment .

Posted 10/25/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in AI and NLP, with a focus on developing agentic systems and orchestration methods. Proven ability to manage end-to-end experimentation and validation while mentoring fellow researchers.

Highest-signal resume keywords
AI/ML ExperienceDeep Generative AI ExpertisePython ProgrammingPyTorch or JAX SkillsMSc or PhD in Relevant Field

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Model OrchestrationTool Use MethodsData ManagementExperimentationEvaluation PipelinesAdversarial TestingBenchmark DevelopmentSimulation DesignInformation EnrichmentUser Feedback Integration
Soft Skills
Independent OwnershipComfort with AmbiguityConstructive Challenge
Industry Keywords
R&D ExperienceMilitary ExperienceSecurity ConstraintsCompliance Constraints

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Research and develop agentic capabilities, including model and tool orchestration, deep research, retrieval, and information enrichment
  • Shape agentic system design and develop orchestration, planning, and tool-use methods for reliable workflows
  • Advance agentic AI and NLP using execution traces, user feedback, and fine-tuning
  • Build benchmarks, simulators, and evaluation suites combining annotation workflows and adversarial testing
  • Define problems, manage data, conduct experimentation, and validate results end to end
  • Partner with engineering through deployment
  • Identify risks early and challenge ideas constructively
  • Mentor fellow researchers

Requirements

What you’ll need
  • 8+ years of hands-on AI/ML experience, owning multiple projects from problem definition to real-world use
  • Deep generative AI and NLP expertise, with experience developing agentic or complex ML systems at scale
  • MSc or PhD in a relevant field, or equivalent research accomplishments
  • Strong Python and PyTorch or JAX skills, with experience building data, training, and evaluation pipelines
  • Systems judgment: ability to connect model, tool, and workflow behavior to overall performance and make sound technical trade-offs
  • Independent ownership, comfort with ambiguity, and rigorous, reproducible evaluation within security and compliance constraints
  • Simulator design is a plus
  • Relevant industry or military R&D experience valued