לוח משרות דרושים הייטק AI משרה מלאה

Responsible for design, development, modification, debug and/or maintenance of software systems
What will your job look like?
Develop Gen-AI framework and application
Research cutting-edge Gen-AI techniques and apply them to real-world applications.
Collaborate with cross-functional teams to integrate Gen-AI solutions into products and workflows.
Stay ahead of industry trends to drive innovation and excellence in Gen-AI.

Are you ready to become part of the our groundbreaking amAIz GenAI platform? As a Software Architect, youll be at the forefront of innovation, driving the design and strategy to ensure our platform is well architected, performs at its peak, scalable, secure, and aligned with our business objectives. Your role will involve close collaboration with various teams to promote widespread adoption of the platform. Youll also be part of a team of skilled software architects with vast knowledge in AI and SaaS. This position requires a strategic thinker who can merge technical prowess with business acumen to deliver cutting-edge solutions. If youre passionate about shaping the future with GenAI and making a significant impact, we want to hear from you!
What will your job look like?
Construct and drive the architectural platform solutions of the amAIz GenAI platform.
Maintain up-to-date knowledge of industry trends and emerging technologies in AI and GenAI to ensure the platform remains at the cutting edge.
Collaborate with Product Management to align the architecture with business requirements and strategic objectives.
Partner with the development organization to ensure seamless execution of architectural solutions and alignment on implementation plans.
Develop and maintain a robust, scalable, secure, protected, and high-performance suite of SaaS services.
Ensure the architecture adheres to best practices for continuous integration and delivery.
Oversee the selection and integration of new technologies and frameworks.
Provide technical leadership and mentorship to the team of engineers.
Conduct regular architectural reviews to ensure compliance with best practices and standards.
Identify and mitigate technical risks, ensuring the architecture can adapt to evolving requirements.

As the Head of AI, you will lead our AI department to drive innovation and success in developing and implementing cutting-edge technologies in DL and computer vision Algorithms. We are dealing with a variety of tasks such as regression, segmentation, classification, and detection while editing millions of images every week for professionals, and holding hundreds of millions of edited images by professionals used as datasets.
Responsibilities
Leading and managing a team of AI developers to deliver high-quality projects and solutions.
Providing technical guidance, expertise, and mentorship to team members to ensure the successful execution of AI initiatives.
Developing Designing and implementing up-to-production novel, robust and efficient deep learning algorithms in the field of computer vision.
Collaborating with cross-functional teams to integrate AI technologies into various products and services.
Overseeing the design, development, and deployment of machine learning and deep learning models and recommending innovative solutions to enhance business performance.

Were looking for a talented AI research team lead for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects across our company. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
Lead a team of AI researchers
Manage and conduct advanced hands-on research projects that will impact 250M+ users
Leverage the latest advancements in LLM customization, multimodal models, knowledge representation, and conversational AI
Build horizontal AI capabilities to be used across our company
Work on strategic projects for the company
Collaborate with other internal departments to drive impactful data-driven projects.

Were looking for a brilliant, creative, fun-loving Senior Full-Stack AI Engineer to pair with data scientists and work solely for the purpose of embedding intelligence (LLM, Agents) into huge scale consumer experiences.
Key Responsibilities :
Lead and own full-cycle AI development to impact millions of people
Own data and AI products end-2-end from research to production to operation
Make sure that ideas go into production in a safe, reliable and scalable manner
Pair with data scientists from the brainstorming sessions and forward
Work closely with product & UX to define and build data and AI products that are fun and easy to use
Design system architectures, select/evaluate tools
Drive the integration of agents and LLM-powered features into core products
Implement prompt engineering best practices and help build a centralized prompt management system to support various user flows
Develop evaluation pipelines for testing, validating, and continuously improving LLM-generated outputs

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

AI Product Manager for a leading company Hybrid position
As an AI Product Manager, you will be responsible for guiding the development and enhancement of the company AI-based and Gen AI products. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery and continuous improvement of AI solutions that meet our customers' needs. The ideal candidate has a strong background in AI and Machine Learning technologies, product management experience, and excellent communication and leadership skills.
Key Responsibilities: Conduct research to identify customer needs, trends, and competition, using insights to guide product decisions. Define and drive the AI and Gen AI Product Strategy, aligning goals with business objectives and market opportunities. Work closely with startups, creating proof-of-concept environments to drive rapid and impactful change, and contribute to building scalable, final solutions. Create and maintain a product roadmap, prioritizing features based on feedback, demand, and goals. Work with cross-functional teams to ensure cohesive product development and effective communication. Oversee the product lifecycle from ideation to launch, ensuring timely delivery of high-quality AI products. Ensure AI products are user-friendly, intuitive, and meet target user needs.

developing the next-generation Analytics Platform for application builders, allowing software companies to build better analytics experiences and drive better outcomes for their end users. We're continuously improving our market-leading product and need a sharp and talented Product Manager to join our team and help shape the future of the platform in the AI domain.

We are looking for
The Product Team is looking for an enthusiastic and motivated Product Manager with a passion for data platforms, analytics, and problem-solving, as well as specific experience in the AI domain and in transforming products with AI features.

This role is ideal for someone eager to learn and grow in a collaborative environment, with the opportunity to contribute to the evolution of our industry-leading analytics platform. We are seeking a creative and driven individual who can support the team in defining and executing our product vision while learning to address the needs and challenges of application builders who create products using our platform.
Take a leading role in defining and building Sisenses GenAI functionality and extensible AI platform
Work with our head of AI, to define end-to-end requirements for Sisenses AI capabilities and drive their delivery from ideation & design, through engineering, to enablement and go-to-market
Identify, collect, analyze, and advocate for customer needs
Collaborate with your Product Manager peers helping create end-to-end stories that enable application builders to benefit from the Sisense analytical engine
Communicate the roadmap, vision, and strategy of your domain to key stakeholders
Create feature presentations and documentation to explain the capabilities to both internal and external audiences

Required Language Data Analyst
Description
As a language data analyst, you will take part in the process of developing AI based text-interaction technology with focus on meticulous empirical work guided by insights about human linguistic knowledge and behavior.
Role and Responsibilities:
Work with PMs and stakeholders to develop domain aware product standards and definitions
Identify systematic patterns in language data by applying usage-based and theoretical generalizations
Use a combination of qualitative and quantitative methods to study language models in terms of human standards
Create well balanced and controlled datasets that capture the diversity of real life language use
Design, conduct and manage empirical studies with emphasis on the human factor.

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).