לוח משרות דרושים הייטק AI

We are seeking a passionate Generative AI Builder to join our Engineering team and work directly with our development teams to accelerate the adoption of GenAI tools and establish best practices. Reporting to the VP R&D you will be embedded within our development organization to drive hands-on implementation, create effective workflows, and empower developers to leverage cutting-edge AI capabilities in their daily work.
What youll do:
Direct Developer Support & Enablement:
Work side-by-side with development teams to implement and optimize GenAI tools in real-world projects
Provide hands-on guidance for integrating AI coding assistants, code generation tools, and automation workflows
Troubleshoot implementation challenges and help teams overcome adoption barriers
Tool Implementation & Workflow Design:
Evaluate and pilot new GenAI development tools across different technology stacks
Design and document standardized workflows for common development tasks using AI assistance
Create custom integrations and configurations tailored to our specific development environment
Process Development & Optimization:
Establish GenAI coding standards, guidelines, and quality assurance processes
Design efficient workflows that maximize developer productivity while maintaining code quality
Develop feedback mechanisms to improve AI-assisted development practices continuously
Training & Knowledge Transfer:
Conduct hands-on workshops and training sessions on GenAI tools and techniques
Create practical tutorials, code examples, and documentation for immediate developer use
Mentor development teams on advanced prompt engineering and AI-assisted coding strategies
Innovation & Experimentation:
Stay current with emerging GenAI tools and evaluate their potential impact on development workflows
Run proof-of-concept projects to test new AI capabilities and use cases
Share insights and learnings with the broader engineering organization.

We are looking for a talented AI Algorithm Developer to join us in the research and development of our next-generation automatic sports video content engine. Our team operates at the intersection of Computer Vision, NLP, and Audio analysis. We dont just use models; we build multimodal pipelines that understand sports context like a human editor would.
If you are an expert in one of these domains (NLP, CV, or Speech) and are eager to master the others to build state-of-the-art Multimodal AI - we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art Deep Learning (LLMs, VLMs, Audio models, and Generative AI).
Collaborate with Computer Vision and Audio experts to fuse different data signals into unified models.
Combine deep language models, Generative AI, and classical ML techniques to create high-quality solutions for demanding product-oriented tasks.
Manage the full R&D cycle: from problem definition and reading papers to implementation, prompt engineering, and productization with high autonomy.
Engage in collaboration with product and success teams to convert business goals into measurable algorithmic objectives.
Write robust, production-grade Python code that scales.

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions

We are looking for a senior product manager to join our AI Unit and help shape the AI platform that powers our next generation of products.
This role focuses on the platform and ecosystem layer of AI, building the capabilities, standards, and systems that enable teams across the company to create AI-powered experiences effectively.
You will work closely with engineering, data, and product teams to define how AI capabilities are built, reused, and governed across the platform.
This is a high-impact role with broad scope. It requires strong product fundamentals, technical curiosity, and the ability to operate in an evolving space.
Job responsibilities:
Own key parts of the AI platform roadmap, balancing foundational investments with product impact
Help define reusable AI capabilities (e.g., retrieval, embeddings, scoring, agent tooling)
Contribute to shaping how we evaluate, monitor, and improve AI systems in production
Partner closely with engineering on architecture and technical tradeoffs Support the definition of governance and control mechanisms (quality, safety, cost, transparency)
Work with product teams to enable adoption of AI capabilities across the platform
Improve developer and product team experience when building AI features
Contribute to defining standards, best practices, and ways of working for AI across
What makes this role interesting:
You will work on foundational systems that impact multiple product areas
You will help shape how AI is built and used across the entire platform
You will collaborate across teams and influence both product and technical direction
You will operate in a fast-evolving domain with real opportunity to define how things should work.

we are seeking an R&D AI PMO to support the execution of its AI strategy and transformation across Product and R&D. Reporting to the Head of Strategy and Operations for Technology and Product, the role will be responsible for identifying high‑value AI use cases across the software development lifecycle (SDLC) and institutionalizing the use of AI capabilities to deliver measurable improvements in development efficiency, quality, and business impact. Working closely with R&D and Product leadership, the role will drive adoption through training, documentation, knowledge sharing, and governance, while defining and tracking KPIs related to financial benefits, efficiency, and quality. This role is critical to the success of Sapiens AI transformation and requires strong technical acumen, hands‑on experience with modern AI development tooling (e.g., Claude Code, Rovo, GitHub Copilot), and proven experience leading technology‑driven transformation programs at scale.



Key Responsibilities:​
Support the implementation of the AI strategy across R&D by identifying, selecting, and institutionalizing AI tools to drive efficiency across the SDLC​
Partner with R&D and Product leadership to drive adoption of AI tooling, developing training materials, use cases, and leading enablement sessions across divisions/product teams​
Define and track KPIs to measure AI impact (e.g., financial benefits, development efficiency, quality improvements), providing visibility on realized value​
Establish and maintain governance frameworks, artefacts, and AI usage policies in collaboration with R&D Ops and SecOps to ensure structured and compliant adoption​
Identify operational risks related to AI adoption, driving mitigation plans and supporting governance forums to track progress and communicate with senior stakeholders​

we are looking for a AI Engineer Team Lead.
What will you do?
Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core - the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.
Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.
Drive experimental development- Run structured bets - LLM evaluation frameworks, new agent architectures, novel tool-use patterns - and bring the best ones to production.
Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.
Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.

we are looking for a Senior AI Backend Engineer.
Build the future of AI in the world of Cloud Infrastructure. You'll design innovative solutions powered by AI and help shape where we're headed as a company.
Why This Role Rocks:
Develop cutting-edge AI solutions - We're harnessing LLMs to solve real cloud infra problems, not just for buzzword points
We build the future - AI SRE became the hottest market in the cloud infra space - its our job to lead it.
Your ideas become reality - Propose solutions, lead initiatives, and see your impact
Shape our tech direction - You'll have a real voice in our technical strategy.
FULL Ownership: We believe in taking developments end to end. From ideation all the way to production.

Were looking for a structured, tech-savvy CX Knowledge & AI Chatbot Manager to join the CX Delivery team.
This role sits at the intersection of AI chatbot operations, knowledge management, and CX delivery. Youll primarily own and optimize Support AI Agent (chatbot) and help strengthen the knowledge and content ecosystem that powers both AI and human support.
Were looking for someone with hands-on experience in chatbot management and knowledge systems - not just general CX experience. You should be comfortable working with chatbot flows, intents, and automation logic, as well as structured Help Center or Community content.
This is not a writing-heavy role. Its an enablement role focused on connecting knowledge sources, improving automation performance, and scaling self-service intelligently. In addition to chatbot and knowledge ownership, you may also contribute to broader CX Delivery initiatives such as workflow improvements, automation projects, and operational enhancements as business needs evolve.
AI & Chatbot Management (Primary Focus):
Configure, maintain, and optimize the AI chatbot (Zendesk AI Agent)
Manage chatbot instructions, use cases, workflows, intents, and data sources
Review conversations to identify gaps, fallback patterns, and improvement opportunities
Monitor performance metrics (deflection, customer experience, CSAT/BSAT, routing accuracy)
Ensure alignment between AI logic, tone of voice, and product updates
Knowledge / Content Governance (Primary Focus):
Maintain knowledge structure and taxonomy across Help Center, Community, and AI knowledge layers
Ensure synchronization between customer-facing content, agent knowledge, and chatbot use cases
Identify content gaps using ticket trends and AI insights
Collaborate with CX and Product enablement stakeholders to maintain accuracy and clarity
Continuous Improvement & CX Delivery Support:
Turn AI and support insights into structured improvements
Support automation and workflow optimization initiatives
Contribute to scalable CX Delivery project and various, team objectives, goals and tasks as needed
​Success Looks Like:
Chatbot experiences are accurate, well-maintained, and continuously improving
AI performance improves through structured knowledge alignment
Knowledge content is unified, searchable, and up to date
Automation reduces support load while maintaining strong customer experience
CX Delivery initiatives scale efficiently and predictably.

We are looking for a Prompt Engineer to design, optimize, and continuously improve multi-turn conversational experiences across multiple product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation.
Youll work closely with product managers, who will provide requirements and prioritization, while you focus on crafting and iterating prompts, testing in real-world scenarios, and delivering natural, trustworthy interactions.
This role is based in Tel Aviv, with a hybrid work setup, combining in-office collaboration with remote flexibility.
Key Responsibilities:
Conversational Design and Prompting:
Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.
Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.
Continuous Testing and Improvement:
Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.
Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.
Collaboration and Delivery:
Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.
Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.
Documentation and Knowledge Sharing:
Maintain a prompt library with flows, system prompts, and version history and set guidelines for tone, multilingual consistency, and testing.
Share insights and learnings with the broader product and AI teams.

We are looking for an Algorithm Researcher to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of research, mathematics, and advanced AI, turning complex theoretical concepts into scalable, production-ready algorithms. You will solve high-dimensional real-world problems and contribute directly to mission-critical systems used by leading financial institutions worldwide.
Technology: Python, NumPy, SciPy, Pandas, PyTorch / TensorFlow, LLMs, RAG, vector databases, large-scale data processing
What youll work on:
Designing and developing advanced algorithms for complex financial crime detection challenges
Translating mathematical models and research concepts into scalable production systems
Building and optimizing ML and LLM-based solutions for real-world deployment
Working with transformers, attention mechanisms, sequence modeling, and representation learning
Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
Improving model accuracy, robustness, explainability, and inference efficiency
Collaborating with engineers, data scientists, and domain experts to bring research into production.

Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.

As an Asset Intelligence Research Manager, you will lead a high-impact research team dedicated to decoding the "DNA" of enterprise assets, from Cloud instances to Industrial OT. You will bridge the gap between deep technical discovery and product innovation for our CAM and CPA lines. You will drive the transition from manual research to AI-automated intelligence at scale within a collaborative environment.

Responsibilities
Team Leadership: Directly manage and mentor a specialized team of researchers, overseeing task prioritization and professional development.
AI Integration: Implement AI and LLM-driven workflows to automate asset identification, fingerprinting, and technical documentation parsing.
Cross-Functional Synergy: Act as the primary technical liaison between Research, Product (CAM/OT), and Engineering to translate findings into features.
Technical Deep Dives: Lead research into network protocols (TCP/IP) and device signatures to improve discovery and classification engines.
Data-Driven Strategy: Use Python and SQL to query massive datasets, identify emerging asset patterns, and build functional research scripts.

We are seeking a highly autonomous and exceptionally talented AI & Robotics Research & Exploration Specialist. This role is dedicated to AI driven product exploration and rapid prototyping. Conceptualize and build functional MVPs that push the boundaries of our XOS robotics ecosystem. The ideal candidate is a prolific builder and "tinkerer" with deep expertise in software, AI, and computer vision, capable of translating novel concepts into structured, demonstrable prototypes.

We are looking for an enthusiastic AI Solution Manager who is a builder at heart and a changemaker by nature. In this role, you will be the catalyst for innovation, bridging the gap between ambitious business goals and actual technical delivery.
You wont just manage tasks; you will own the solution from idea to impact. We are looking for someone with a relentless curiosity to learn new tools, a passion for automation, and the drive to revolutionize our workflows. You will partner with stakeholders to design, prioritize, and build agentic AI flows that change the way we work.
What will you do?
Design & Build (Hands-on): Actively design and configure AI agents and automated workflows using low-code/no-code platforms. You turn concepts into working prototypes.
Product Ownership: Take ownership of AI initiatives. Define the scope, manage the timeline, and prioritize tasks based on business value and potential ROI. Ensure we are building the right things.
Stakeholder Partnership: Collaborate with business leaders to identify pain points. act as a trusted advisor who understands their needs and translates them into technical reality.
Drive Innovation: Be the companys "AI Radar." Constantly explore new tools and models, bringing fresh ideas to the table and challenging the status quo to improve efficiency.
Optimization & Impact: Don't just launch and forget. Monitor the performance of your solutions, troubleshoot issues, and iterate to ensure they deliver continuous value.

We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team. In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads, including data ingestion and preprocessing pipelines, model training infrastructure, efficient inference systems, and automated experiment tracking.
Key Responsibilities
Design, implement, and optimize deep learning models and pipelines for signal and image analysis.
Build and maintain AI infrastructure components to support model training, versioning, monitoring, and deployment.
Develop scalable data processing pipelines for datasets, including ingestion, labeling, augmentation, and preprocessing at scale.
Implement automated training workflows using tools such as ClearML or other experiment tracking platforms, ensuring reproducibility and model governance.
Collaborate with system engineers to integrate AI models into real-time radar systems and ensure efficient inference performance.
Optimize distributed training and resource utilization.
Run performance tuning, testing, and benchmarking for both training and inference workloads.
Document infrastructure components, training procedures, and model lifecycle processes.