לוח משרות דרושים הייטק AI משרה מלאה

Requirements:
5+ years of Product Management experience.
Genuine passion for AI, Cybersecurity and the space where they intersect a must
Bachelors degree in Computer Science, Engineering, or relevant technical experience.
Proven success launching LLM-powered cybersecurity products.
Strong understanding of LLM use cases and technologies (e.g., AI agents and frameworks, copilots, MCP, A2A).
Experience in cybersecurity domains (e.g., threat detection, DLP, identity, or cloud security) strongly preferred.
Familiarity with AI security risks (e.g., prompt injection, jailbreaking, data leakage, model abuse, sensitive data governance).
Ability to engage with technical concepts (APIs, data pipelines, LLM architectures, security controls) and translate them into customer value.
High proficiency in English (spoken and written).
Exceptional communication and collaboration skills to work with both technical and business teams.
Customer-focused mindset with a drive to deliver impactful solutions.
Comfortable operating in a rapidly evolving market with shifting technologies and threats.

Requirements:
Proficient in Python - at least 5 years of production-grade code development-
strong familiarity with LLM tooling frameworks (LangChain, LlamaIndex, Haystack, etc)
Is involved in AI communities and surveys the landscape for new AI tools, technologies, papers, and projects
Familiar with state-of-the-art RAG technologies
Has a deep understanding of the state-of-the-art AI pipelines and technologies
Has built and deployed AI-driven pipelines or applications into production - Must
Understand modular pipelines and CI/CD integrations.

Requirements:
Proven experience (5+ years) as a frontend engineer, with at least 2 years in a senior or lead capacity.
Strong expertise in modern frontend technologies: React.Angular (or similar), TypeScript/JavaScript, state management libraries, and build tools (Webpack, Vite, Nx, etc.).
Deep understanding of frontend architecture and performance optimization, including rendering pipelines, caching, and clientserver interactions.
Experience building component libraries, design systems, or frontend infrastructure used by multiple product teams.
Familiarity with AI/ML-driven interfaces (LLM-powered UIs, chat interfaces, real-time streaming, data-heavy dashboards, or similar).
Strong collaboration and communication skills with cross-functional teams.
Passion for developer experience, clean abstractions, and scalable design.
Nice to Have:
Experience with AI/ML frontend integrations (e.g., working with OpenAI, Anthropic, Hugging Face APIs).
Knowledge of observability and monitoring tools for frontend systems (e.g., Datadog, Sentry).
Contributions to open-source frontend infrastructure projects.
Experience with monorepos and multi-package setups (Nx, Lerna, Turborepo).

Requirements:
Requirements are often considered a measure of how equipped you are to do the job, but sometimes they arent the only factor.
If you dont have every skill listed here but believe youd be a great fit, wed still love to hear from you!
6+ years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design, clean architecture, and scalable distributed systems.
Proven experience in leading end-to-end feature development from design through implementation, testing, and deployment.
Solid experience with testing methodologies (unit testing, TDD, mocking, etc.).
Proficiency with relational databases (PostgreSQL, MySQL, etc.).
Strong programming skills in Python are a must.
Experience with LLMs in production is a strong advantage.
Experience with cloud platforms (AWS or equivalent) is a plus.
Independent, fast learner, and passionate about exploring new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.

Requirements:
4+ years of professional software development experience, with proficiency in languages such as Python/C#/Java.

Experience in the end-to-end ML lifecycle, including model training, deployment, inferencing, and addressing the challenges of scaling AI products.

Proficiency in safe AI/ML rollout methodologies, including canarying and A/B testing.

Proven ability to design and architect complex, high-performance systems that support AI workloads.

Demonstrated experience with cloud services (e.g., AWS, GCP, Azure).

Hands-on experience with common ML frameworks like PyTorch or TensorFlow, as well as libraries like scikit-learn and time-series models (e.g., Prophet, ARIMA, LSTM).

Strong problem-solving skills and the ability to write and optimize high-performance code.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
Bachelor's or Masters degree in Computer Science, Engineering, or related field.
4+ years of experience in firmware or embedded software development, with proficiency in C/C++.
Strong programming skills in Python and C.
Knowledge of hardware architectures, operating systems, and system optimization.
Excellent communication skills in English (both oral and written).
Experience with DSP, GPU, SIMD programming, and hardware accelerators.
Background in machine learning, deep learning, computer vision, or image processing.
Familiarity with low-level code optimization, parallelization, and performance profiling.
Good math and algorithmic skills.

Requirements:
5+ years of experience in AI/ML engineering, with deep expertise in production AI systems.
Strong proficiency in modern Python and AI/ML frameworks (PyTorch, TensorFlow, Transformers).
Hands-on experience with agentic AI frameworks (LangChain, CrewAI, AutoGen, or similar).
Solid understanding of LLM integration and prompt engineering for complex reasoning.
Knowledge of software architecture analysis and automated code generation.
Excellent communication skills, able to collaborate with both technical teams and stakeholders.
Nice to Have

Experience with game engines and development workflows.
Familiarity with cloud AI platforms (AWS Bedrock, Azure AI, or similar).
Background in autonomous systems and multi-step AI workflows.

Requirements:
M.Sc in Computer Science, Electrical Engineering, or a related field from a well-known university.
At least 5 years of industry experience in the development and productization of deep learning algorithms.
At least 3 years experience in managing a team or group of at least 5 employees, including performance evaluation, coaching, and professional development.
Experience using PyTorch - Must.
Experience with large-scale data.
Comfortable within an unexplored territory, independent and self-motivated.
Excellent communication and leadership skills.

Requirements:
Must-Have
* Proven track record in AI vulnerability analysis.
* Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks.
* Minimum of 5 years of experience in offensive cybersecurity, with a focus on cloud and API security.
* Familiarity with agentic frameworks and hands-on experience in agentic development.
* Proficiency in Python.
* Exceptional analytical, problem-solving, and communication skills.
* Ability to thrive in a fast-paced, dynamic environment. Nice-to-Have
* Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field.
* Demonstrated experience building production-quality pipelines and automations.
* Hands-on experience with machine learning development frameworks and environments.
* Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522).
* Certifications or background in DevOps/ML domains.
* Webint / OSINT experience.

Requirements:
Must-Have
* 3+ years of experience managing teams in offensive Cyber security
* Strong understanding of GenAI or AI-driven products. and their underlying architectures, especially generative models and agentic frameworks.
* Proficiency in Python
* Exceptional leadership and interpersonal skills, with excellent communication and stakeholder management abilities.
* Strategic, analytical mindset with strong problem-solving skills and a proven ability to drive complex projects to completion Nice-to-Have
* Bachelors or Masters degree in Computer Science, Information Security, or a related field.
* Experience with AWS cloud services and environments.
* Experience with Machine Learning development frameworks and environments.
* Advanced Certifications in offensive cybersecurity (e.g. OSWE, OSCE3, SEC542, SEC522) are highly desirable.

Requirements:
Requirements
* At least 2 years of demonstrated experience managing complex intelligence projects OR an intelligence team - MUST
* Extensive WEBINT / OSINT experience (3-4 years) - MUST
* Native level English - MUST
* Strong written and verbal communication skills- MUST
* At least 2 years of client-facing experience - MUST
* Strong understanding of OPSEC principles
* Additional language - an advantage
* Positive attitude, motivation, and ability to work in a fast-paced, multi-tasked environment
* Ability to package complex research findings into client-ready formats (e.g., slide decks, written reports, executive briefings).
* Excellent organizational skills and the ability to handle multiple clients simultaneously.

Requirements:
Must-Have
* 4+ years of hands-on cybersecurity research experience, with a focus on offensive security or adversarial machine learning in AI/GenAI contexts.
* Proven ability to identify and exploit vulnerabilities in AI systems, including jailbreaking commercial large language models or executing complex multi-step attacks on AI-driven platforms.
* Strong programming and scripting skills (e.g., Python) to build end-to-end proof-of-concept exploits and automation tools.
* Demonstrated track record as an author with peer-reviewed publications in top-tier cybersecurity conferences (e.g., Black Hat, DEF CON, RSA, CCC). Nice-to-Have
* Experience presenting research at conferences, workshops, or industry events.
* Familiarity with industry-standard AI security frameworks and guidelines, including OWASP’s Top 10 for LLM Applications, the MITRE ATLAS adversarial threat framework, and NIST’s AI Risk Management Framework.

Requirements:
* 5+ years of experience as a backend Engineer or similar role, specifically building and operating production-grade, scaled APIs and microservices.
* Experience with Generative AI concepts and Large Language Models (LLMs).
* Proven self-learner with the ability to quickly grasp new technologies and complex domains.
* Hands-on experience with Kubernetes (K8s) and cloud platforms (AWS, GCP).
* Experience with CI/CD pipelines and integrating automated tests
* Proven ability to solve complex technical problems and make data -driven decisions.
* Excellent communication and collaboration skills, with a track record of working effectively in a team-oriented environment.
* Hands-on experience with observability tools such as Prometheus, OpenTelemetry etc. Bonus Points:
* Familiarity with Go programming language.
* Experience working within an Infrastructure or Core Engineering team.
* Experience with LLM orchestration frameworks like LangChain.
* Familiarity with prompt engineering, prompt optimization techniques, and managing system prompts.