לוח משרות דרושים AI Engineer בתל אביב יפו

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

We seek a Lead AI Engineer specializing in prompt engineering and optimizing large language models (LLMs) for real-world applications. In this role, you will not only design effective prompts, improve model responses, and build AI agents, but also take the lead in shaping and delivering the initial AI-powered product for the company. You'll be responsible for driving the technical vision, building from scratch, and leading the implementation of AI-driven capabilities that will become a core part of our product offering.
Responsibilities:
Prompt Engineering: Develop, test, and optimize prompts for high-quality AI responses across different tasks.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
Integration & API Development: Work with software engineers to embed AI features into our product via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason, and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to secure delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.

shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leadersyes, we really are leaderswe partner with the worlds top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

About the position
We are looking for a highly skilled Applied AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.

You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering bringing models to life in production, optimizing for performance, and building reliable systems this role is for you!

AI System Design & Productionization
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they
meet architectural, scalability, and performance standards.
Ensure models developed in research align with our product requirements, system architecture,
and real-world constraints.
Collaborate with DevOps and cloud infrastructure teams to deploy AI solutions in robust,
scalable environments.

We are looking for a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history. This organization is in the center of the hurricane created by the artificial intelligence revolution.
As a Data Pipelines Engineer, You will be building pipelines on top of the Insight Engine, a one-stop shop to build fully integrated AI pipelines. You will build new and innovative AI pipelines and applications as blueprints for customers and AI practitioners to use.

Required Senior GenAI Infrastructure Engineer - ML
About the Team
We empower AI and data science teams at every stage of the model lifecycle, from training to deployment, offering advanced model security and seamless operations across cloud and self-hosted environments.
As we expand, we're looking for a GenAI Infrastructure Engineer to help shape the future of our GenAI platform, trusted by the world's leading companies to power their next-generation GenAI solutions.
In this role, youll build cutting-edge AI infrastructure, design and develop core components such as model serving, prompt management, guardrails, gateways, and evaluation frameworks. Youll help provide organizations with the precise tools to integrate and maintain GenAI into their workflows, ensuring scalability, compliance, and an excellent developer experience.
Youll collaborate with platform, security, AI/ML, and data teams to optimize deployment, monitoring, and governance of GenAI applications at scale. Were looking for data-driven problem-solvers who thrive in fast-paced environments and are passionate about building AI-driven solutions.
If you want to build the infrastructure of the future from concept to production, wed love to hear from you!
As a GenAI Infrastructure Engineer ML you will...
Design and develop the infrastructure of our new GenAI solution.
Develop and manage components such as prompts, guardrails, and model gateways, tracing and evaluation frameworks.
Collaborate with cross-functional teams on shaping how AI applications are structured and managed.
Stay up to date with the latest advancements in GenAI infrastructure, tooling, and frameworks, integrating industry best practices.

looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.

If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.

Responsibilities:
Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environmen (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

This is a leadership role in our companys core AI group, which develops cutting-edge AI solutions that transform medical imaging and diagnostics. As a Team Lead in the AI Algorithm Engineering group, youll be leading a team of top-tier algorithm engineerssupporting their growth as professionals and as people, and helping build a strong, trusting, high-performing team.
Youll help shape and execute the teams roadmap, ensuring strong alignment with product and business goals. Youll also collaborate closely with product managers, clinical experts, and engineering stakeholders. While your primary focus is on people and execution, youll stay hands-on, contributing directly when needed to solve complex challenges and lead by example.
This role is ideal for someone who leads through empathy, clarity, and technical depthand who thrives on building both products and people with care, ownership, and impact, while making a meaningful difference in real-world healthcare.
Responsibilities
Lead a team of top-notch algorithm engineers in designing, developing, and delivering accurate, reliable AI algorithms - with active, hands-on involvement as part of the role.
Build and nurture a culture of technical excellence, trust, ownership, and collaborationturning culture into a force-multiplier and helping attract and retain top talent.
Support your teams professional and personal growth, creating an environment where people feel safe, empowered, and deeply motivated to do their best work.
Collaborate with cross-functional partnersdata scientists, software engineers, product managers, and clinical expertsto ensure AI is thoughtfully integrated across initiatives.
Help shape and execute the teams roadmap in alignment with product and business goals.
Guide team members through complex algorithmic and engineering challengesproviding both technical insight and strategic clarity.
Stay up to date with AI/ML trends and help your team adopt relevant techniques.
Take full accountability for the quality, delivery, and impact of your teams workwhile continuously improving both effectiveness and efficiency.

This is a role in our companys core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.