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we are looking for a RT SW Developer

we are looking for a System Engineer

We are looking for a sales engineer to join our sales and marketing team, being part of a leading provider of forefront technological products.

What will you do?

As a Sales Engineer, you will leverage your engineering background to connect with potential clients, understand their technical needs, and provide tailored product and systems solutions. Your role will be integral to driving sales growth. This is a unique opportunity to blend your technical acumen with sales skills, all while working in a collaborative and innovative environment.

Key Responsibilities:

Sales : support sales in new opportunities and handling them up to the closing stage.

Technical Consultation: Engage with potential clients to understand their engineering challenges and recommend appropriate software solutions.

Product Demonstrations: Conduct detailed demonstrations of our products, showcasing their capabilities and benefits.

Sales Strategy Development: Collaborate with the sales team to develop and implement effective sales strategies that align with company goals.

Market Analysis: Stay updated on industry trends and competitor products to identify new business opportunities.

An experienced aircraft electrical engineer to join our team for a challenging and interesting position.

You will participate in implementing a new strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine-tuning, data curation, data labeling, and more.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.

Responsibilities:
Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling.
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team.

Were looking for a Support Operations & Automation Engineer to help us supercharge operational efficiency across our Support organization and support technology landscape. This role will focus on building, maintaining, and optimizing automations, integrations, and workflows that connect our Support tools - driving scale, efficiency, data quality, and operational excellence.
This is a hands-on, high-impact position for someone who thrives on solving complex system challenges with automation, owns end-to-end delivery, and loves creating seamless experiences between tools.
Key Responsibilities:
Build and maintain automations and integrations across systems like Zendesk, Thena (Slack Support), PagerDuty, Fin by Intercom, Gong, CRM systems, and other productivity tools.
Design AI-driven workflows for knowledge management (case summarization, tagging, suggested responses, content gap detection).
Implement low-code and code-based integrations (Zapier, n8n, APIs/webhooks).
Manage and optimize Support on-call operations, schedules, escalations, and coverage.
Partner with Support, Operations, IT, and Engineering to identify automation opportunities that reduce manual work and improve routing, triage, and KB enablement.
Ensure data consistency, integrity, and synchronization across systems.
Build monitoring and alerting for automation failures, especially in routing, escalation, and on-call flows.
Own end-to-end delivery of Support-stack automations: gather requirements, design, implement, and maintain scalable workflows and integrations.
Partner with Support, Engineering, Product, Operations, Data, and Security to identify inefficiencies, improve routing/triage and data flow, and ensure governance and standards compliance
Collaborates With:
Support leadership, Technical Success, Engineering, Product, Operations, IT, Data, and Security teams.

Were looking for a visionary, technically grounded, hands-on practitioner to help us explore, shape, and represent the future of AI agent trust. You will develop a deep understanding of how autonomous and agentic systems are built and used in the real world, and help internal teams and the broader ecosystem reason about how agents can be trusted, governed, and safely deployed.
You will report to the CPO, work closely with the CTO, and partner across product, engineering, research and data teams. This role sits at the intersection of emerging agent technologies, product strategy, hands-on technical exploration, and external thought leadership.
What Youll Do:
Research & Ecosystem Insight
Stay current on agentic systems and autonomous architectures, with a focus on how agentic interactions are enabled across the open web.
Analyze how AI agents are designed, deployed, and integrated across industries and use cases.
Track trends, standards, and shifts in agent architectures, behaviors, and interaction patterns.
Develop models and approaches to profile, classify, and assess agentic interactions.
Technical Exploration & Prototyping
Build lightweight prototypes or proofs-of-concept to validate ideas and assumptions.
Evaluate third-party frameworks, tools, and integration approaches.
Translate emerging concepts into clear technical direction, architectures, or requirements.
Product Enablement
Advise product teams as they explore and productize agent-trust solutions.
Help reason about agent behavior, system boundaries, reliability, and safe operation.
Act as a bridge between research, product, engineering, and data.
Thought Leadership
Represent the company on topics related to AI agents, autonomy, and trust.
Contribute to blogs, whitepapers, talks, or industry discussions that shape how the market thinks about agentic systems.
Engage with partners, customers, and the broader ecosystem to share insights and learn from real-world feedback.
Help position the company as a credible, forward-looking voice in AI-agent trust.
Communication & Collaboration
Communicate complex ideas clearly through documentation, presentations, and discussions.
Build shared language and understanding around agentic systems across the organization.
Collaborate effectively in a fast-moving, cross-functional environment.

What Youll Do
Youll join our growing R&D team as a QA Automation Engineer, working closely with development, product, and clinical teams. You will be a crucial player in ensuring the quality, reliability, and performance of our core healthcare platform by designing and implementing robust automation testing strategies. You will own the end-to-end quality process and significantly contribute to our continuous integration and delivery pipeline
Key responsibilities:
Design, develop, and maintain automated test suites (UI web & mobile, API, and integration) using industry-standard tools and frameworks
Integrate automation tests into our CI/CD pipelines to enable continuous quality validation
Collaborate closely with engineers to perform root cause analysis of defects and improve testability of new features
Define and execute testing strategies (functional, regression, load, performance) for new and existing features
Lead the effort to enhance quality assurance standards, tools, and processes across the R&D team.

We are looking for a Senior Frontend Engineer who thrives on solving complex problems and shaping the future of construction technology. If you are proactive, open-minded, and passionate about impact, this is the place for you. we are our comprehensive construction management platform that connects workflows, teams, and data at every stage of a project to maximise efficiency and productivity. ACC enables seamless collaboration and informed decision-making. It enhances project predictability, safety, and quality, helping construction professionals deliver successful outcomes across the entire lifecycle of a building. At our company, we work in a hybrid working environment based in our TLV office.
Responsibilities
Design, build, and scale robust systems
Contribute to architectural discussions and planning
Debug complex issues and support production systems
Write high-quality, testable, and reusable code
Mentor junior engineers and promote team growth.

We are looking for a Senior Frontend/ Full stack Engineer who thrives on solving complex problems and shaping the future of construction technology. If you are proactive, open-minded, and passionate about impact, this is the place for you. we are our comprehensive construction management platform that connects workflows, teams, and data at every stage of a project to maximise efficiency and productivity. ACC enables seamless collaboration and informed decision-making. It enhances project predictability, safety, and quality, helping construction professionals deliver successful outcomes across the entire lifecycle of a building. At our company, we work in a hybrid working environment based in our TLV office.
Responsibilities
Design, build, and scale robust systems
Contribute to architectural discussions and planning
Debug complex issues and support production systems
Write high-quality, testable, and reusable code
Mentor junior engineers and promote team growth.

We're looking for an AI Product Engineer to join the AI team and own how our product knowledge translates into reliable AI agent capabilities. This role sits at the intersection of product expertise and AI implementation. You won't write code or build ML models. Instead, you'll analyze agent interactions, create prompts and skills, improve documentation for AI consumption, label datasets, and write evaluations.
Think of this as a Knowledge and Content Manager for AI. You'll make sure our agents can accurately answer questions about us, guide users through workflows, and reduce support escalations.
Key Responsibilities:
Analyze AI inputs and outputs - Review agent conversations to identify gaps, hallucinations, and improvement opportunities
Create and maintain prompts and skills - Build reusable capabilities that encode our product logic and terminology
Improve documentation structure - Restructure docs so agents can cite accurate, step-by-step guidance
Label datasets and write evaluations - Measure agent quality across common questions and track improvements
Collaborate across teams - Work with Product, Docs, Support, and GTM to address real user pain points
Maintain the AI capability library - Keep prompts and skills organized with sendversioning and usage insights.