לוח משרות דרושים הייטק AI משרה מלאה

We are looking for AI Engineer to join the Data Science team.
As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. 
Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies.
You will be expected to break down problems, learn and develop, have an open mind, and have ownership all the way to production. Working in a multi-disciplinary team will require excellent communication skills and at the heart of it all, alignment with values and endless curiousness.

We are looking for a AI Automation Engineer to join our team.

We're searching for a talented and passionate technologist to implement AI driven innovation by integrating AI Agents and AI APIs in automation processes and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance our company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) , automation tools, and software development to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.

Responsibilities
Work with the AI Projects Manager to research, design, and develop AI-powered solutions (e.g., chatbots, machine learning models) to automate tasks, unlock scaling opportunities and generate efficiencies across the company.
Build internal tools that automate workflows, improve data accessibility, and improve data accessibility, and facilitate collaboration within the company.
Integrate AI and internal tools seamlessly with existing systems and infrastructure to ensure smooth operation and data flow.
Write clean, maintainable, and well-documented code or automation processes, adhering to best practices and security standards.
Conduct unit tests and implement test-driven development (TDD) methodologies to ensure code quality and reliability.
Monitor and maintain deployed tools, identifying and resolving technical issues promptly.
Stay up-to-date with the latest advancements in AI, automation tools, AI APIs, and internal tool development best practices.

We are looking for a Head of CX - AI, Automation, and Tools to join our team.

The Head of CX - AI, Automation, and Tools role is a unique opportunity to join a highly motivated, customer-centric team striving for excellence. We are shifting gears to an AI-first approach in a super-fast-paced environment. Our goal is to make the customer experience a competitive advantage in the hospitality industry by ensuring our processes are not just defined, but supercharged by intelligent automation.

You will be a hands-on leaderarchitecting flows in n8n/Make, leading a small group of elite talent, and owning a significant share of the day-to-day operations of Guesty CX.

Responsibilities
AI & Automation Architecture (Hands-on)

Build and Deploy AI Solutions: Take a hands-on role in designing, building, and deploying AI-based automations to revolutionize how we support customers and reduce manual work.
Workflow Engineering: Utilize n8n or Make to architect complex, robust workflows that integrate various CX tools.
Client Facing chatbot - defining the priorities roadmap and requirements for our home grown client facing chatbot - built on AWS AgentCore, Langchain and utilizing multiple AI models.
CX AI Agents management and orchestration - building, deploying and monitoring multiple AI agents that cover all areas of the CX operations including data analysis, knowledge, training, support , quality and more.
Tool Administration: Administration and configuration of all CX tools, including finding or replacing tools as needed to keep our stack cutting-edge.
Leadership & Strategy

Talent Management: Manage a small team of highly talented individuals, fostering a culture of innovation and speed.
Process Ownership: Ownership of existing processes in the CX team and defining new processes as needed to support KPIs.
Cross-Department Interface: Define and manage the interface and processes CX has with other departments (BI, CS, Product, OB) and between the various CX teams.
Data & Tools

Data-Driven Improvement: Oversee the CX KPI reporting and work with the BI team to continuously improve our data and dashboards.
Tech Stack: Oversee the CX tech stack (Zendesk, Tymeshift, Airtable and various internally built tools) , continuously introducing new tools and approaches.

We are looking for an AI Program Manager to join our team.

We're searching for a talented and passionate technologist to lead internal innovation across the entire company by implementing AI, Automation and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance the company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) and project management to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.

Responsibilities
Collaborate with multiple department heads across the company to identify opportunities, implement POCs and build a roadmap of AI based automation projects and internal tools.
Research, design, and develop AI-powered solutions (e.g., chatbots, machine learning models) to automate tasks, unlock scaling opportunities and generate efficiencies across the company.
Work with the AI Automation Engineer to build internal tools that automate workflows, improve data accessibility, and facilitate collaboration within the company.
Integrate AI and internal tools seamlessly with existing systems and infrastructure to ensure smooth operation and data flow.
Maintain clear documentation, develop training materials and ensure tools and capabilities are enabled and used by potential users across the company.
Conduct ongoing training sessions to the company about internal tools, as well as general developments in the AI space.
Stay up-to-date with the latest advancements in AI, off the shelf tools, and internal tool development best practices.

As an AI Engineer, youll build full-stack features that deliver seamless user experiences combining robust engineering with advanced AI capabilities.

Responsibilities
Design and deploy agent-based systems for real-world use cases
Build end-to-end features: backend APIs, data models, and React-based UI
Integrate AI and agentic logic into the core product
Develop backend pipelines for autonomous agents and workflow automation
Optimize model accuracy, reliability, and performance
Work closely with product, data, and UX teams to align AI with business and user needs

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 seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.
Your responsibilities
What youll do
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance our automation capabilities and user experience.

We're seeking an exceptional Senior AI Engineer to play a central role in our AI Engineering Group. This is an opportunity to join our strong AI group, with a specific focus on Angie - our comprehensive chat agent that's revolutionizing website building and management.
In this role, you'll be at the leading LLM based technological exploration, utilizing a diverse array of tools and advanced technologies. Your mission? To apply cutting-edge AI technologies, to architect and deploy solutions that aren't just high-performing; they're revolutionary. You'll develop systems that cater to our extensive user base (currently 100K+ active users), ensuring that every interaction with our platform reflects our commitment to excellence. If youre enthusiastic about AI and you breathe Agents, MCP, Prompt Engineering, and all the goods of the new world, your place is with us.
About Angie: An Agent-based operating system for website creation and management. Currently in its scaling phase with rapid development cycles, Angie is designed to perform complex operations, such as vibe coding, content generation, bulk actions, error checking, and more.
Work Environment:
What do we do
This is where web creation happens for real.
We are a multi-product platform powering over 13% of the internet.
Our products give millions of web creators: developers, designers, and marketers - everything they need to build, scale, and succeed.
From Israel to more than 160 countries, a new website goes live with us every 10 seconds.
How do we do it
By staying AI-first, data-driven, and human-led.
We build real products that deliver real value, and we do it together.
Creativity, fast feedback, and open collaboration shape everything we do.
You will find good energy and people who genuinely care about the product, the users, and each other.
It is a place to grow, make an impact, and help shape the future of the web.
Responsibilities
Play a key role in defining our developing AI strategy, particularly around Angie's evolution
Gain a deep understanding of the various product lines, with an emphasis on incorporating AI wherever possible to unlock new business frontiers
Pioneer new developments, from both a technological and business perspective
Test emerging AI abilities, incorporating them into our existing and new services, delivering high-quality products while applying engineering best practices and standards
Evaluate and optimize LLMs' performance - a critical aspect of the role, including cost optimization and response speed improvements
Oversee end-to-end development, from ideation to production, while working closely with multiple company stakeholders
Work alongside a dynamic team of domain experts who are passionate about technology and making an impact
Thrive in a fast-paced environment with frequent changes and the exciting challenges of scaling a new product.

We are growing, and we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
We are a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impactthis is the role for you.
What You'll Do
Drive the adoption of AI-based development tools and workflows across the R&D organization.
Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

we are looking for a AI Engineer to join our R&D organization and help lead the development of AI-powered and data-driven capabilities in our Developer Productivity Platform.
In this role, you will transform data into actionable insights and intelligent models that help software teams understand, measure, and improve how they work. Youll work closely with product, data, and engineering teams to design and deliver AI and data science solutions that have real impact on developer productivity and business outcomes.

Key Responsibilities:
Design, develop, and deploy AI-driven features & data science and ML models to analyze code flows, software development processes, team behaviors, and performance metrics.
Build AI & data pipelines and analytical infrastructure that ensure data quality, accessibility, and freshness at scale.
Translate complex data into clear, actionable insights and code analysis that influence product direction and drive customer value.
Develop and maintain predictive, prescriptive, and diagnostic models to support use cases like delivery forecasting, productivity measurement, and team health analysis.
Partner with Product Managers, Data Engineers, and Backend Engineers to bring insights to life through AI & data-driven features and platform improvements.
Monitor and continuously improve model performance through experimentation, A/B testing, and user feedback loops.
Research and evaluate new AI/ML tools and methodologies to enhance the platforms intelligence and scalability.

We are seeking a skilled AI innovator to join our team and lead the exploration and integration of cutting-edge Generative AI (GenAI) technologies.
In this role, you'll have the opportunity to shape the future of our organization by identifying and implementing transformative AI solutions.
Collaborate with teams to understand their needs and design tailored AI-driven solutions.
Experiment with LLM and other GenAI tools to drive proof-of-concept projects.
Design, develop an deploy intelligent AI agents to automate complex tasks and enhance efficiency across the organization.
Explore new and creative application for GenAI.

Required Director of AI Agents Research
The Job
Were on an expedition to find someone whos passionate about creating intuitive, out-of-this-world scalable, high-performance systems that power the future of AI. You'll lead an organization of engineers , MLOps teams, and more to redefine the next AI agentic infrastructure for multiple use cases across the product and organizations.
Responsibilities
Suggests AI strategy aligned with company goals (e.g., automation, personalization, product innovation).
Oversees AI research and development Mannaging Engineers , AI engineering, and MLOps teams.
Evaluates AI opportunities identifies where AI can deliver value and ensures ethical, scalable implementation.
Collaborates with executives to translate business needs into technical roadmaps.
Builds AI governance: compliance, ethics, and model accountability frameworks.
Collaborate with Engineering, Product, Security.

Were looking for an experienced AI Project Manager to lead and coordinate cross-functional projects within our AI Group. You will partner with research, data science, and product leaders to translate strategy into action, managing timelines, dependencies, and priorities for our most advanced AI initiatives.
Responsibilities
Lead the planning, execution, and delivery of multiple AI projects across research and production teams.
Partner with AI scientists, ML engineers, and product stakeholders to define goals, success metrics, and execution plans.
Establish and maintain clear project roadmaps, ensuring alignment with the AI Groups strategic priorities.
Manage communication across technical and non-technical stakeholders, providing visibility into progress and blockers.
Drive agile processes within AI teams to support experimentation, iteration, and scalable delivery.
Identify and mitigate project risks, ensuring smooth collaboration across research, data, and engineering functions.
Promote a culture of technical rigor, transparency, and innovation within the AI Group.