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Pentera

Senior Software Engineer – AI Autonomous Attacker

Pentera

. Design, implement, deploy, and operate core agentic workflows .

Posted 11/3/2026full-timeRemote • IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in building and deploying production AI workflows, with a strong focus on backend engineering, system architecture, and security testing. Proficient in leveraging LLMs and ML models to enhance performance and reliability in complex systems.

Highest-signal resume keywords
Production Software DevelopmentBackend EngineeringLLM Application ShippingDistributed Systems in CloudSecurity Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
TypeScriptPythonGoSoftware DesignData StructuresSystem ArchitectureModel-Driven ReasoningDeterministic LogicMachine LearningDeep Learning
Tools & Technologies
ContainersOrchestrationDatabases
Certifications & Qualifications
M.Sc.Ph.D.
Industry Keywords
AI WorkflowsPentestingSecurity ResearchDevOpsProduction Capabilities

Tech Stack

Tools & technologies
CloudDistributed SystemsPythonTypeScriptGo

About the role

Key responsibilities & impact
  • Design, implement, deploy, and operate core agentic workflows
  • Build systems combining model-driven reasoning with deterministic execution and clear safety controls
  • Partner with security researchers, data scientists, and DevOps engineers to translate pentesting knowledge into production capabilities
  • Develop evaluations and use internal benchmarks to improve effectiveness, precision, reliability, and performance
  • Design, implement, and evaluate production AI workflows combining deterministic logic, LLMs, and other ML and DL models
  • Discover vulnerabilities and carry out authorized security testing

Requirements

What you’ll need
  • 6+ years of experience building and shipping production software
  • Strong backend engineering background
  • Experience shipping LLM applications, AI agents, or ML systems to production
  • Strong software design, data structures, and system architecture skills
  • Track record of owning complex features from design through production operation
  • Proficiency in TypeScript, Python, Go, or a comparable language
  • Experience building distributed systems in a cloud environment
  • Practical knowledge of containers, orchestration, and databases
  • Advanced degree (M.Sc. or Ph.D.) in Computer Science or a related technical field (nice to have)

Benefits

Comp & perks
  • Equal opportunity employment
  • Diverse and talented workforce