דרושים » AI » AI Security - AI Engineer

Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.
Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.
This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.

What will you do:

* Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
* Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
* Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
* Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure.
* Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
* Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

We are on a mission to secure the AI transformation that every company is going through, and the OS-level agent is at the heart of that mission. This is your chance to join the fastest growing area in our company and build technology that will shape how cybersecurity works in the AI era. You will be part of a multidisciplinary team that includes AI researchers, cloud engineers, and OS experts from Israel and from acquisitions like Lakera, all working together to deliver cutting-edge solutions to the largest customers in the world.
We are building the Windows agent that powers GenAI Protect, our companys flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.
Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.

We are looking for a Senior AI Software Engineer to help build and evolve AI-powered cybersecurity products that protect customers at global scale. In this role, you will design and implement intelligent systems leveraging AI agents and large language models (LLMs), partnering across engineering, security, and product teams to deliver secure, reliable, and responsible solutions.
This role requires strong software engineering fundamentals, hands-on experience building AI-driven systems, and a passion for applying cutting-edge AI technologies to solve complex security challenges.
Why Join Us
Youll be part of the Office of the CTO of our company Security, working on innovative, high-impact security products powered by AI that shape the future of cybersecurity. We foster a collaborative and inclusive culture that values a growth mindset, technical excellence, and continuous innovation.
Responsibilities
Design, develop, and maintain cutting-edge AI technologies and products within the Office of the CTO, from early prototypes to production-grade systems.
Build and evolve AI agent-based architectures, including multi-agent workflows and tool-using agents.
Apply advanced LLM design patterns to improve accuracy, robustness, and safety of LLM-powered systems, including prompt engineering, flow engineering, Retrieval-Augmented Generation (RAG), self-review, ReAct, and guardrails.
Write high-quality, secure, and maintainable code primarily in Python, following modern software engineering best practices.
Collaborate with cross-functional teams, including product, research, and security, to define requirements and deliver end-to-end AI solutions.
Identify and resolve reliability, performance, and security issues in AI-enabled services.
Contribute to architecture and design reviews, ensuring solutions meet security, privacy, compliance, and responsible AI requirements.
Mentor other engineers and contribute to a culture of engineering excellence and continuous learning.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.
Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

We are looking for a talented and experienced AI Backend Engineer to join our dynamic Engineering team. This is a hybrid role, reporting to the Group Manager, Director, Software Engineering in the Engineering Department. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. If you're passionate about data and helping companies improve their security posture, youll play a critical role in driving innovation within the AI space by leveraging cutting-edge backend technologies.
What youll do (Role Expectations):
Lead and drive innovative projects within the AI domain, leveraging fabric capabilities to enhance and accelerate our products offerings
Develop our agentic fabric framework and implement the agentic fabric framework across the platform
Identify opportunities to address complex technical challenges and improve existing systems
Own the end-to-end delivery of projects, from proof-of-concept (POC) to full-scale production deployment
Stay updated on industry trends, emerging technologies, and best practices to continually enhance our technology stack and processes.

We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.

we are growing and we want you to join us! Have you ever wanted to work with an industry leader? Well, how about an industry creator?! were not just the leader in digital adoption, we started the digital adoption revolution - enabling organizations to measure, drive, and act to ultimately maximize the impact of their digital transformation and accelerate the return on their software investment. And with over 2,000 clients, including more than a third of Fortune 500 companies, working with us on a daily basis, were changing how enterprises interact with their technology.
As an AI Solution Engineer, youll help shape how AI-driven automations are applied across our internal systems. Youll build and operate AI agents and workflows that connect data, tools, and processes, enabling teams across the organization to work more efficiently at scale.
Youll work closely with IT and platform stakeholders, as well as teams across the company, combining AI capabilities with automation tools, APIs, and code to deliver solutions that move from experimentation to reliable, long-term operation.

What will you actually be doing?
Design and develop AI automations, agents, and agentic workflows that automate and augment internal business processes.
Develop and maintain integrations and workflows using tools like n8n, Workato, and other automation or orchestration platforms.
Write JavaScript-based logic (and Python where relevant) to extend low-code/no-code tools, integrate APIs, and orchestrate AI-driven flows.
Build scalable, secure, and reliable automations, including monitoring, logging, and guardrails for AI behavior.
Implement advanced prompting and agent patterns, such as structured outputs, tool/function calling, and RAG.
Optimize workflows using data, telemetry, and feedback to improve reliability, performance, and business impact.
Collaborate closely with the IT team to ensure solutions align with enterprise architecture, security, and compliance standards.
**Engagement will initially be via an employment agency for the first few months, with the possibility of transitioning to direct company employment at a later stage

we are a fast-growing AI powered mobile games publishing company by Unity. We work with game studios worldwide to help them build, scale, and operate successful mobile games using cutting-edge technology.Were looking for a Staff AI Engineer to join our growing AI and engineering group. This is a highly impactful role for someone who wants to shape how AI is embedded across products, platforms, and business operations-from early experimentation to production-scale systems.
As a Staff AI Engineer, youll operate end-to-end: identifying opportunities, designing solutions, and delivering real business value using modern AI and LLM-based systems.
What you'll be doing:
Design, build, and deploy AI-powered solutions across Supersonics products and internal platforms
Partner closely with product, data, engineering, and business stakeholders to identify and execute high-impact AI use cases
Architect and implement agentic workflows using frameworks such as LangChain, LangGraph, or equivalent
Integrate and operate LLMs via SDKs, including prompt design, structured outputs, tool/function calling, and guardrails
Lead technical decisions around AI evaluation, monitoring, observability, and quality measurement
Own AI initiatives from concept through production, including iteration, scaling, and long-term maintenance
Stay up to date with emerging AI technologies, models, and best practices, and help bring them into production thoughtfully

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

provides a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.
Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs

Optimize model performance, inference time, and cost efficiency within AWS infrastructure

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.