לוח משרות דרושים הייטק AI

we are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!
What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.

If youre passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data We are looking for a talented AI Business Automation Engineer.

What Youll Do:
Collaborate with business departments to map existing processes, identify inefficiencies, and prioritize automation opportunities.
Select and design suitable AI and automation technologies to optimize workflows, integrating tools such as n8n, utilizing google cloud or other suitable platforms.
Build, configure, test and deploy automations and integrations between systems, ensuring robustness, scalability, and maintainability.
Work closely with business users to test, validate, and roll out automation solutions; provide training and support to ensure successful adoption.
Define KPIs and success metrics for each automation, monitor outcomes, and ensure that tangible value (e.g., time saved, cost reduced, errors eliminated) is delivered.

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.

What youll do:
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

we are looking for an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team. we are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for an outstanding architect for a senior HPC, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What you will be doing:
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements.

We're looking for a AI Research Scientist to join us
WHAT YOULL DO

Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

As a Lead AI Engineer on the ValueEdge team, youll be at the forefront of building AI-powered enterprise solutions that transform how organizations work. Youll design, develop, and optimize scalable backend services and integrate production-ready machine learning modelsincluding Large Language Models (LLMs)to deliver intelligent automation and actionable insights. Your work will directly influence the capabilities of a next-generation platform that drives value, efficiency, and innovation for businesses worldwide.

As a Lead AI Engineer on the ValueEdge team, you'll take an active role in designing, building, and optimizing advanced backend services and AI-powered features for enterprise software solutions. You will be instrumental in the development and integration of robust APIs, scalable services, and production-ready machine learning modelsincluding Large Language Models (LLMs)to empower organizations to achieve intelligent automation and actionable insights.

We're looking for an innovative Prompt Engineer to join our team, combining classic QA expertise with cutting-edge language model technology. This unique role sits at the intersection of Quality Assurance and Generative AI, helping shape how our company leverages advanced technology.
In This Role, You Will Be Responsible For:
Designing and developing sophisticated prompts to enhance functionality across our applications and platforms.
Creating and executing comprehensive TEST suites for our intelligent systems.
Performing both manual and automated Quality Assurance to ensure optimal performance.
Contributing to system architecture decisions and technical planning.
Innovating new methodologies for implementing AI features within us.
What Makes This Role Unique:
This position combines traditional QA expertise with the emerging field of prompt engineering.
You'll be responsible for planning and creating features that leverage language models while mastering the art of prompt crafting to achieve optimal results. As prompt engineering is an evolving field, you'll have the opportunity to shape best practices and develop innovative solutions.
Our MissionOur mission is to elevate how finance teams operate in the global economy.
We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency.
We are the AI-powered platform that automates finance.Tipalti is fueled by a commitment to our customers and a desire to build lasting connections. Our client portfolio includes high-velocity businesses such as Amazon Twitch, GoDaddy, Roku, WordPress.com, and ZipRecruiter. We work hard for our 99% customer retention rate which is built on trust, reliability and innovation. Tipalti means we handled it" - a mission to which we are constantly committed.AccommodationsTipalti champions inclusive teams, in which every voice counts. We are committed to recruiting diverse candidates with varied personal experiences and abilities. We welcome applications from candidates belonging to historically underrepresented or disadvantaged groups, and maintain an equitable Talent Acquisition process that is free from discrimination.As an equal opportunities employer, we complies with employment and human rights laws across the various jurisdictions in which we operate. Should you require reasonable adjustments or accommodations during the recruitment process, including access to alternate formats of materials, meeting spaces, or other accommodations that could better enable your full participation, please reach out to us for assistance.
Privacy About:
We are committed to protecting the privacy interests of job applicants and candidates. For more information about our privacy practices during our Talent Acquisition process, please refer to our Job Candidate Privacy Notice.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

We are seeking an experienced AI Executive with deep expertise in Generative AI and a strong background in technology consulting to join our Technology Consulting Department. This role involves leading strategic AI initiatives for top-tier clients, developing innovative AI-driven solutions, and driving digital transformation through cutting-edge technologies.
Key Responsibilities:
Lead end-to-end Generative AI projects from strategy and design to implementation and delivery.
Advise clients across industries on integrating AI technologies into their business processes.
Design and develop tailored AI solutions using advanced models (e.g., LLMs, diffusion models).
Analyze market trends and bring forward innovative AI opportunities for clients and internal teams.
Collaborate with cross-functional teams including Data, Engineering, and Business Consulting.

Required AI Senior Delivery Manager
About the job
As an AI Senior Delivery Manager, you will lead the orchestration of our most complex and strategic AI transformation initiatives, managing a team of project managers while ensuring flawless execution of cutting-edge AI solutions across enterprise clients. You'll be the strategic bridge between technical innovation and business outcomes, driving AI program success at unprecedented scale while building and mentoring the next generation of AI delivery leaders.
Key Responsibilities:
Lead end-to-end delivery of large-scale, cross-functional technology projects.
Manage client relationships and act as the primary point of contact for project delivery.
Coordinate between internal consulting teams, external vendors, and client stakeholders.
Oversee project planning, execution, quality assurance, risk management, and reporting.
Ensure projects meet defined KPIs, SLAs, and business objectives.
Apply appropriate project management methodologies (Agile / Waterfall / Hybrid) based on project needs.
Support business development efforts, including proposal writing and client presentations.

Were looking for an experienced AI Engineer to help us build and deploy cutting-edge GenAI systems that create real impact across industries.
What Youll Do:
Build end-to-end GenAI solutions -from POC to production
Develop scalable backend services using Python and microservices
Deploy across GCP, Azure, and AWS using cloud-native AI tools
Collaborate with cross-functional teams and clients to translate business needs into AI-powered systems
Continuously explore and integrate emerging GenAI models and frameworks
Develop and optimize LLM-based systems, including Retrieval-Augmented Generation (RAG) architectures.

We are looking for a passionate and experienced Hands-On Tech Lead to join our Technology Consulting department and lead the design and implementation of cutting-edge Generative AI solutions. This role is ideal for someone who thrives at the intersection of technology leadership and hands-on development, and who is excited to shape the future of AI-driven innovation for top-tier clients.
Key Responsibilities:
Lead the technical design, architecture, and implementation of Generative AI solutions (e.g., LLMs, multimodal models, RAG pipelines, fine-tuning, prompt engineering).
Collaborate with cross-functional teams including data scientists, software engineers, consultants, and business stakeholders.
Stay up to date with the latest advancements in GenAI and translate them into practical, scalable solutions.
Guide and mentor junior developers and AI engineers.
Work closely with clients to understand business needs and translate them into technical requirements.
Ensure high-quality delivery, performance, and security of AI applications.