דרושים » ניהול ביניים » Senior AI Full Stack Engineer

We are looking for a highly motivated AI Full stack Engineer with GenAI background in production to join our team and help us shape the future of the Agentic engineering platform (AEP).



What youll do:

were a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery across both backend and frontend systems.



You will:

Implement high scale AI-powered features deeply integrated into our platform
Design and build production-grade backend systems serving a wide and growing user base
Build agent-based workflows using frameworks such as AI SDK
Integrate LLMs into real production systems with attention to reliability, latency, observability, and cost
Work across frontend (React + TypeScript) and backend (NodeJS, Python, Go) to deliver complete AI-driven user experiences
Own features end-to-end: design, implementation, testing, deployment, and monitoring
Help define standards and best practices around AI reliability and evaluation
Contribute to technical planning, mentor teammates, and help recruit top talent
Develop retrieval-augmented generation (RAG) pipelines over structured and unstructured data

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.
You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.
If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.
What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

We're building our company's Cyber Threat Intelligence platform - a system that harvests, contextualizes, and serves threat intelligence at scale. This includes AI-powered Copilot experiences, analyst-facing dashboards, and the services that connect them. We're looking for a versatile Full-Stack Engineer to own features end-to-end, from backend services to the UI that puts intelligence in analysts' hands.
You might be stronger on the frontend or backend - that's fine. What matters is your ability to work across the stack, take ownership of entire features, and ship with autonomy. You'll collaborate closely with product, UX, and CTI researchers to translate complex data into intuitive experiences, all within a fast-moving environment with short development cycles.
The Responsibilities
Own features end-to-end - from data layer to UI -delivering complete solutions that serve real analyst workflows.
Build core components of the CTI platform, including AI Copilot experiences, dashboards, and data visualization tools.
Develop backend services and APIs that process and expose threat data to client applications.
Craft responsive, maintainable frontend experiences using Vue, TypeScript, and modern tooling.
Collaborate with product and UX to translate requirements into well-designed, documented solutions.
Drive engineering best practices across the stack - code quality, testing, and maintainability.

Were looking for exceptional Senior Full Stack Engineers who take full ownership of their work-from technical design through implementation and into real-world usage.
This is a hands-on role for individuals who bring strong engineering fundamentals, curiosity across the stack, and a high standard for quality and reliability.
Youll join a team that values autonomy, deep thinking, and the ability to navigate both frontend and backend challenges.
We expect engineers to care about how their systems behave in production-not just whether they compile-and to help build reliable, scalable software that stands up to real-world demands.
What Youll Do :
Design, implement, and ship end-to-end features spanning web, mobile, backend, and infrastructure layers
Tutor, guide and help to nurture a culture of technical excellence throughout the development organization
Own your code through its lifecycle-from spec and architecture to deployment, monitoring, and evolution
Investigate and resolve issues that arise in staging or production, and help build tools that make doing so easier
Work closely with product and design to define technical solutions that deliver real user impact
Improve system architecture, performance, and development practices over time
Collaborate with peers through code reviews, design discussions, and shared ownership of technical quality.

Join our company as a Senior Full Stack Engineer and help architect our Agentic AI System. Youll be responsible for building the entire lifecycle of our product-from high-performance Node.js services on AWS to polished, real-time React experiences that make AI feel human.
In this role, you will bridge the gap between complex AI logic and intuitive user interfaces. Youll have a seat at the table to influence our technical foundation, backend architecture, and product direction as we scale AI-native customer experiences to millions of SMBs.
What youll do
End-to-End Ownership: Build and maintain scalable, performant web and mobile applications using React, TypeScript, and Node.js.
Architect for Scale: Design and implement robust backend services and APIs on AWS to support real-time, agent-driven features.
AI Integration: Collaborate with AI engineers to integrate sophisticated LLM orchestrations and live customer interactions into a seamless product experience.
Foundation Building: Shape the architecture, standards, and CI/CD pipelines of our companys full-stack systems.
Product Craftsmanship: Partner with product and design to craft highly polished, intuitive, and delightful user experiences from the database to the UI.
Technical Leadership: Champion best practices in system design, performance, security, and code quality.

we are looking for a Senior Full-Stack Engineer to join our Catalog Management team.
This team owns core domains of the company application, including artist management, catalog management, and content-driven workflows that power both creator-facing experiences and internal tools. In this role, youll take end-to-end ownership of features - from backend services and APIs to user-facing interfaces - building systems used daily by creators and teams across our company.
Youll work closely with Product, Design, Label, Content, A&R, and Engineering to translate complex domain needs into intuitive, scalable, and reliable software.
What Youll Be Working On
This is a true full-stack role, with responsibilities split roughly 50% backend and 50% frontend, depending on the feature and phase.
On the backend side, youll design and build services that handle artist data, catalog metadata, workflows, and integrations, ensuring scalability, performance, and reliability.
On the frontend side, youll build and maintain user interfaces that surface complex data and workflows in a clear, efficient way, collaborating closely with designers and product managers.
Youll own features end to end - from technical design through production - and help shape how our catalog systems evolve as the company grows.
Wake Up for This:
Own features end to end:
Design, implement, and maintain full-stack features - from backend services and APIs to frontend applications and user experiences.
Build scalable backend systems:
Develop and maintain Node.js services that power artist management, catalog workflows, metadata handling, and content operations.
Craft intuitive user interfaces:
Build clear, performant, and maintainable UIs using React and Next.js that make complex workflows easy to use.
Collaborate cross-functionally:
Work closely with Product Managers, Designers, and stakeholders from Label, Content, and A&R to deliver solutions that meet real business and creative needs.
Engineer for quality and scale:
Ensure systems are performant, reliable, secure, and maintainable across the full stack.
Lead by example:
Mentor other engineers, contribute to architectural decisions, and help raise the bar for code quality and best practices.
Create real impact:
Your work will directly affect how content is managed, discovered, and delivered to millions of creators worldwide.

We are looking for a talented Full Stack Engineer to join our growing web application engineering team. This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.
In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code. You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.
As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.
Key responsibilities:
Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

we are looking for a Senior Full Stack Engineer, Subscriptions Team.
As a Senior Full Stack Engineer on this team, youll work across the stack - designing robust backend services and building polished, data-driven UIs that help customers and internal stakeholders get value quickly.
What Youll Do:
Lead technical design and implementation of backend projects, owning end-to-end features from architecture to deployment
Design, implement, and maintain scalable microservices and event-driven systems that power our subscription and billing engine
Design and maintain asynchronous flows using queues to handle high-concurrency usage metering and analytics
Contribute to the frontend domain by building and maintaining UIs that expose subscription data to customers
Collaborate with Product, Data, and Customer Success teams to support product-led growth (PLG) and business goals
Take ownership of production systems, including monitoring, troubleshooting, and reliability improvements
Write clean, testable, and maintainable code, and participate in thoughtful code reviews
Simplify integrations and workflows to reduce Mean Time to Value (MTTV) for internal stakeholders and customers

Required Senior Software Engineer, AI Platform
About the role
As a Senior Software Engineer - AI, youll design, build, and own production grade AI agents that operate at the core of our cloud security platform. Youll work on distributed, cloud native services that embed agentic AI workflows into our existing microservices architecture.
This role goes beyond building AI logic: youll be responsible for operating AI systems in production, ensuring they are observable, reliable, and continuously improving through systematic evaluation and data driven iteration.
On a typical day youll:
Design and implement cloud-native, distributed services that power our AI-driven security features
Build and maintain agentic AI systems that reason over large-scale cloud security data and interact with multiple internal services
Own AI agents in production, including deployment, monitoring, troubleshooting, and performance optimization
Implement observability for AI systems, including metrics, logging, tracing, and alerting for agent behavior, quality, latency, and cost
Develop continuous evaluation pipelines for agentic solutions, including offline testing, regression detection, and production feedback loops
Design and optimize RAG pipelines that operate reliably over high-volume, high-variance security data
Apply strong software engineering practices: clear APIs, clean abstractions, robust error handling, and scalable data flows
Lead services end to end - from design and implementation to deployment and long-term operation
Collaborate closely with Data Platform, Product, and Security Research teams to ensure AI behavior is correct, explainable, and trustworthy.