לוח משרות דרושים AI Engineer

In this role, you will lead a team of Machine Learning Scientists and Engineers dedicated to building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
As a technical manager, you should be passionate about GenAI technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.

Key Job Responsibilities and Duties:
Leadership in LLM Development- Build, Guide and mentor a team of ML scientists and ML engineers in the development, fine-tuning, and deployment of large language models (LLMs) tailored for the travel domain.
Expertise in the engineering aspects of deploying LLMs at scale with minimal latency. This includes optimizing model performance, scalability, and efficiency to meet the demands of real-time, high-traffic applications.
Define and communicate the technical vision and strategy for LLM-related initiatives, ensuring alignment with company goals and customer needs.
Foster a culture of collaboration, innovation, and excellence within the team.
Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.
Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.
Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business.
Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.
Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.

We are looking for a GenAI expert with in-depth knowledge of Large Language Models (LLMs) to identify, develop, and integrate GenAI solutions into the organization's working environment. The role involves identifying business and technological needs, assessing various solutions, and implementing appropriate tools and technologies.
Understand user needs and translate them into AI-based solutions.
Conduct POC using LLM models.
Identify, evaluate, and recommend technologies and tools (commercial and open-source).
Assist in implementing AI tools into the organization's infrastructure.
Proactively explore new applications for GenAI technology.

Required AI Engineer
Description
We are expanding to meet the unprecedented demand of its customers and stakeholders.
We have established itself as a leader standing on the forefront of innovation and ingenuity; working with world-renowned automotive OEMs to deliver revolutionary multi-domain platform solutions and next-generation Cybersecurity, pioneering AI, Blockchain, Road Safety and Data-Services with unique User Experience, years ahead of the competition and at the dawn of the connected mobility revolution.
We are looking for the best to join us as we expand our groundbreaking journey.
We are confident that your unique skillset, perspective, and passion, encouraged and inspired by our wealth of technology, research and expertise in these fields will be the driving force needed to continue being an industry spearhead for many years to come.
Position Description:
We are interested in welcoming an AI Engineer to join our diligent team and design, develop, and implement proprietary AI models, improve accuracy, efficiency, and functionality.

the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

looking for a talented and experienced engineer to take part in the verification efforts for the companys core product. This position involves building and maintaining a complex verification environment, and defining and executing a test plan. In this role, you will be leading all aspects of verification and will have a critical impact on the company's R&D path.

Responsibilities
Define and implement robust SV/UVM verification solutions, including test benches and methodologies, to drive efficient verification closure across block-level and full-chip designs, integrating Mix-signals SoC simulation environment using Verilog, MATLAB, HW/SW Co-simulation and lab integration.
Work closely with Digital Design, Analog Design, Software, Back-end, SW and System teams to understand the functional, power and performance goals of the product and ensure its quality.

founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.
We seek an experienced individual contributor (IC) with potential for future team leadership, specializing in deploying generative AI applications in production at scale. The role focuses heavily on robust production methodologies, including monitoring, evaluation, failure analysis, and resilience.

Reporting to the Director, you'll shape Wiliots AI roadmap for internal tools, customer solutions, and external SDKs.

Responsibilities
Develop, deploy, and scale robust generative AI applications (agents, copilots, intelligent interfaces).
Design and maintain scalable, secure architectures for LLM-driven services.
Own full AI lifecycle: prompt engineering, embedding models, retrieval systems (vector DBs), real-time monitoring, observability, and failure mitigation.
Collaborate cross-functionally with software engineers, product teams, and business stakeholders.
Translate ambient IoT data into practical AI-driven experiences (logistics, sustainability, inventory management).
Contribute to developing SDKs/APIs for external AI workflows.
Experiment with advanced GenAI techniques (LLMs, hybrid search, multimodal).

? We are seeking a talented and experienced Software Developer (with a focus on algorithm implementation) who is passionate about making a meaningful impact in the defense sector?
Location: Ashdod

We are looking for a GenAI Senior Engineer.
About the role:
Assume ownership of GenAI solutions and features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team. We are looking for a Data & AI Architect.
Responsibilities:
Build the foundations of modern data architecture, supporting real-time, high-scale (Big Data) sports data pipelines and ML/AI use cases, including Generative AI.
Map the companys data needs and lead the selection and implementation of key technologies across the stack: data lakes (e.g., Iceberg), databases, ETL/ELT tools, orchestrators, data quality and observability frameworks, and statistical/ML tools.
Design and build a cloud-native, cost-efficient, and scalable data infrastructure from scratch, capable of supporting rapid growth, high concurrency, and low-latency SLAs (e.g., 1-second delivery).
Lead design reviews and provide architectural guidance for all data solutions, including data engineering, analytics, and ML/data science workflows.
Set high standards for data quality, integrity, and observability. Design and implement processes and tools to monitor and proactively address issues like missing events, data delays, or integrity failures.
Collaborate cross-functionally with other architects, R&D, product, and innovation teams to ensure alignment between infrastructure, product goals, and real-world constraints.
Mentor engineers and promote best practices around data modeling, storage, streaming, and observability.
Stay up-to-date with industry trends, evaluate emerging data technologies, and lead POCs to assess new tools and frameworks especially in the domains of Big Data architecture, ML infrastructure, and Generative AI platforms.

Required Research Scientist, GenAI & Computer Vision (Pixel Synthesis)
The Reality Labs organization is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and were just getting started.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as DL, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to large-scale production that has the potential to reach billions of users.
Research Scientist, GenAI & Computer Vision (Pixel Synthesis) Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

we are looking for an Program Manager, Internal AI Solutions to join the Production Operations team and work closely with our AI department. This role bridges the gap between technology and operations, ensuring our company adopts the most effective AI-driven tools and automation to enhance efficiency, streamline internal work processes and drive operational excellence.
What am I going to do?
You will identify, evaluate, and implement AI-driven tools (internal and third-party) to optimize workflows and automate processes.
You'll collaborate with customer care, business, product, and engineering teams to ensure seamless integration and efficiency.
As part of your job you will interview internal teams, map processes, analyze workflows to identify bottlenecks which need to be resolved.
You have a strong analytical mindset, excellent project management skills, and a passion for AI-driven innovation in business operations.

Were looking for a Product Manager to lead our companys LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.
As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.
Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.
What am I going to do?
Define the product vision and roadmap for our companys LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning and structure from conversational and behavioral data.
Drive adoption of LLM capabilities across our company by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

Were looking for a Principal Software Engineer with a builders mindset and a passion for innovation to join our AI Security team at BigID.
Youll play a key role in shaping how organizations adapt and secure their use of AI, working on new initiatives from the ground up. The ideal candidate is a hands-on technical leader who thrives in ambiguity, brings deep backend expertise, and influences cross-team architecture and product direction.
This is a unique opportunity to work on cutting-edge AI Security initiatives in a fast-paced, high-ownership environment.
What Youll Do:
Design scalable, secure solutions to complex technical challenges
Build backend services and infrastructure from the ground up
Drive architectural and technological decisions across products
Collaborate closely with cross-functional teams and mentor engineers
Review design and code to uphold high engineering standards
Explore new technologies and bring innovative ideas into production