דרושים » AI » Senior Computer Vision Deep Learning Engineer

we are looking for a Senior AI Software Engineer to join our Generative AI foundation team. We build AI agents and shared infrastructure that power GenAI capabilities across the company, enabling CyberArks product lines to adopt agentic workflows safely, reliably, and at scale. In this role, youll be involved in the full software lifecycle - from fast-moving prototypes and POCs to production-grade, observable systems. Youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Youll work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. Youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops.
Your Impact:
Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities.
Manage the full software development lifecycle, from prototyping to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services.
Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services.
Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions.
Champion operational excellence through pragmatic experimentation, iteration, and solid design.

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

Responsibilities
Take full end-to-end ownership of features - from product thinking and design through development, testing, deployment, and post-production monitoring.
Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services.
Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity.
Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks.
Own the full DevOps lifecycle - CI/CD pipelines, containerization, release management, and production observability.
Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures.
Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability.
Utilize version control systems, particularly Git, for code management and collaboration.
Stay current with emerging technologies, AI tooling, and modern engineering trend.

we are looking for an AI Specialist with deep, hands-on expertise in modern AI platforms to train, prototype, build and ship AI-powered solutions across the organization. Working closely with business stakeholders and IT peers , this role is a combination of an ability to design and work with AI consumers across the organization and technical - to turn the business needs into working AI solutions at speed using the latest agentic and low-code AI tools.
In this role you will also nurture the AI builder's community with advanced knowledge, technical sessions, builders CI/CD process support, creating business data foundations and literacy and responsible AI training and practices
Responsibilities:
Rapidly prototype and deliver working proof-of-concepts and working builds that translate business requirements into functional solutions, iterating quickly toward production.
Lead advanced, in-depth technical sessions, workshops, and hands-on labs for technical and semi-technical audiences, building internal capability in AI-assisted development.
Build and optimize agentic workflows, tool integrations, to maximize solution capability and reliability.
Establish and promote best practices for AI-assisted development, code quality, reusability, and responsible build standards across teams.
Drive build projects from concept through delivery, ensuring quality, performance, and maintainability.
Collaborate with Business Applications, IT R&D, Analytics and business units to identify high-impact opportunities and deliver measurable value through custom-built AI solutions.
This includes identification of required foundations to support the builders community (literacy, business models, RBAC foundations etc.)
Stay continuously current with the fast-moving AI development landscape - new models, platforms, agent frameworks, and tooling - and bring that knowledge into the organization.
Ensure compliance with corporate information security standards, data handling, and governance policies.

We are building the next generation of AI-powered investigator tools . Our cloud-based AI platform delivers cutting-edge capabilities including multimodal analysis, embeddings, OCR, speech-to-text, face detection, image and text classification, and LLM completions through a scalable serverless architecture.
As a Senior Software Engineer on the AI Platform team, you will be part of the core team that designs, builds, maintains, and evolves the shared AI service platform that powers real investigative workflows at enterprise scale. You will help turn advanced AI concepts into production-grade serverless systems, shaping orchestration, retrieval, context, and backend architecture across the platform.

we are looking for an Algorithms Engineer to join our team.



In this role you will:

Be a part of a leading Algorithm team responsible for developing Radio core technologies for innovative wireless communication products.
Develop algorithms and architectures for a high spectral efficiency modem in a challenging environment.
Simulate and test new HW & SW designs in Matlab and real-time, in a full modem and channel environment.
Collaborate with the VLSI, RF, SW and System groups.
Take end-to-end ownership, from the concept stages to the fully operational system.

What will you do?

Design and implement AI-driven automation workflows across business systems.

Build and maintain integrations using REST APIs and external services.

Develop and deploy RAG (Retrieval-Augmented Generation) pipelines.

Design and implement AI agents and multi-step automated processes.

Build MCP servers/tools or similar AI tool-integration frameworks.

Collaborate with business stakeholders to translate requirements into scalable solutions.

Monitor, evaluate, and improve AI system performance and reliability.

Ensure best practices in system design, security, and scalability.