דרושים » הנדסה » Software Developer- AI & Innovation group 22854

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

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
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

The WAF Core Engine team is expanding! We're looking for an experienced and independent software engineer to join us. As part of our CloudGuard WAF product, you'll play a key role in designing and developing cutting-edge security solutions to tackle evolving industry challenges. This role requires combining low- and high-level programming, architecting complex systems, and leveraging data analysis to enhance performance and detection capabilities. Its a unique opportunity to drive innovationnot only within our product but across the broader security landscape.
Be part of a new team in a global, stable company while enjoying a dynamic, start-up-like environment.
Shape the future of CloudGuard WAFyour contributions will have a direct impact on both our product and the industry.
Solve diverse, cutting-edge challenges in web protection, AI-powered threat detection, and data-driven security.
Collaborate with passionate experts, expand your skill set, and advance your career in one of the most exciting domains in cybersecurity.
Key Responsibilities
Design, develop, and own end-to-end POCs and core features for the WAF engine in complex environments.
Write high-quality, secure, and efficient code following best practices.
Work closely with cross-functional teams (R&D, Product, QA) to deliver innovative and high-impact solutions.
Utilize data analytics and big data technologies to detect and mitigate security threats.
Provide technical support, troubleshooting, and maintenance for developed functionality.

We are seeking a Staff Engineer for our AI Incubation team.
This role reports to the Chief Scientist and is a key member of a new team responsible for leveraging our extensive dataset of customer interactions to develop and validate new product capabilities.
The primary responsibility of this role is to rapidly prototype and test new Generative AI concepts, demonstrating a strong entrepreneurial spirit by transforming nascent ideas into tangible proofs-of-concept with speed and agility. Working closely with a Data Scientist, you will translate ideas from customers and internal stakeholders into functional proofs-of-concept to evaluate their technical feasibility and business potential. This role requires a self-starter who thrives on building from the ground up, embracing the challenge of bringing innovative AI solutions to life from initial concept.
Responsibilities:
Prototyping: Design, build, and deploy functional prototypes for new Generative AI features, utilizing production data sources to demonstrate technical feasibility.
Architectural Design: For validated prototypes, create high-level architectural designs and documentation to guide production implementation by core engineering teams. Ensure designs account for scalability, reliability, and security requirements.
Technology Evaluation: Evaluate emerging Generative AI technologies, including new models, frameworks, and architectural patterns (e.g. agentic frameworks, MCPs). Assess their applicability to our product and technical environment.
Collaboration: Collaborate with data scientists, product managers, and engineers throughout the prototyping lifecycle. Participate in technical discussions with customers and internal stakeholders to refine requirements.
Technical Guidance: Provide technical guidance to ensure that proposed AI features are aligned with engineering best practices, data constraints, and architectural standards.

We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with our US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.

Cyberint, a market leader in External Risk Management, empowers global organizations to detect, respond, and remediate external threats efficiently. Now part of our company, Cyberint continues to grow and innovate at the intersection of cybersecurity and cloud-native SaaS technologies.
We are seeking a proactive and experienced Backend Engineer to join our global organization. This critical role will oversee the enforcement of feature and release cycles, drive best practices within the R&D team, manage incidents, and provide ownership for key deliverables. The ideal candidate will have a strong background in project management, process optimization, and the ability to bridge strategic goals with execution.
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Your Role and Impact
As a pivotal member of our team, you will drive Cyberint toward its ambitious engineering goals, collaborating extensively across the organization with teams from Product Development to Security Research and Analysts. Your role will span the full software development lifecycle, encompassing design, architecture, and production deployment. This position demands a blend of robust development skills and technical problem-solving prowess.
Key Responsibilities
Spearhead end-to-end development of software components, from initial design through to architecture and production deployment.
Collaborate closely with cross-functional teams, including Product Managers, Security Researchers, and Analysts, to achieve seamless integration and alignment with company objectives.
Employ state-of-the-art technologies to enhance our Threat Intelligence solutions, ensuring scalability, reliability, and effectiveness.

we are looking for a Software Engineer to join our AI Applications team.
The AI applications team is working as an end to end value stream function, delivering product solutions from the very beginning of an idea towards the final user experience, where the main expertise is around products that require AI abilities.
You will be responsible for developing, iterating, and maintaining AI based user experiences on a variety of destinations on the platform. You will be a part of a multidisciplinary team of Product engineers, AI researchers, data scientists and Machine learning (ML) Engineers, you will work with the most recent AI tools and abilities in the industry, and will take a key role in shaping how those will make an impact on customers.
Responsibilities:
Collaborate with design, front-end, and ML engineers to develop and implement new features for platform.
Build scalable services and applications to support large-scale platform.
Write clean, efficient, and well-documented code. Actively participate in code reviews and quality assurance processes.
Work in a cross-functional team, closely collaborating with front-end, back-end, and AI developers to ensure seamless integration and optimal performance of front-end features.
Identify opportunities to improve our architecture and tooling across multiple levels of the stack.
Continuously research and explore new technologies, tools, and techniques to stay up-to-date with the latest trends and best practices.

As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in us. Within our UC, Amazon Dedicated Cloud (ADC) roles engage with our customers who require specialized security solutions for their cloud services.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting our Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Job Description:
We're seeking an exceptional Software Engineer to join our infrastructure automation team supporting our Labs' development teams. What makes this role unique is your direct impact on infrastructure innovation - you'll be building intelligent infrastructure that drives the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI and cloud infrastructure development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical infrastructure roles, you'll have the opportunity to influence both AI implementation and core infrastructure architecture while collaborating with world-class cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest AI advances. You'll be part of a team that values innovation and technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role, you'll develop intelligent automation solutions, implement AI-driven tools for development workflow optimization, and create innovative infrastructure solutions that directly shape the way we work.

Key job responsibilities:
* Design and implement AI-powered automation solutions for development workflows.
* Develop and maintain Python-based infrastructure tools and services.
* Create efficient CI/CD pipelines and build systems.
* Implement intelligent monitoring and self-healing systems.
* Drive technical discussions and architectural decisions.
* Maintain and improve existing infrastructure systems.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.