In this role, youll work on a variety of projects. Your focus will include developing AI-driven scripts, debugging and optimizing code, and integrating cutting-edge GenAI solutions across our workflows. This position is ideal for creative and analytical people with a passion for coding and problem-solving.

Key Responsibilities:

Experiment with and integrate the latest GenAI technologies across various projects.
Research emerging GenAI techniques and contribute to our continuous improvement efforts.
Develop, maintain, and optimize AI-oriented scripts and automation tools.
Debug and troubleshoot code to enhance performance and reliability.
Collaborate with cross-functional teams to implement innovative AI solutions.

Our Machine Learning team is at the forefront of enabling and optimizing high-performance deep learning applications on edge devices. We are looking for a versatile and highly motivated Machine Learning Engineer with a strong R&D background to join our team.
This role requires a solid mathematical foundation, a passion for AI research, and the ability to quickly adapt to new technologies. You should feel comfortable reading and implementing academic papers while also being deeply system-orientedable to dive into hardware architecture, software toolchains, and customer applications as needed.
At our company, developing and deploying deep learning models is software-intensive, and candidates are expected to have strong programming skills in scientific computing. As an AI chip company, we highly value software-hardware integration skills, as our ultimate goal is to ensure seamless optimization for our processors.
Beyond technical expertise, we are looking for candidates who demonstrate:
Ownership and accountability taking initiative and responsibility for driving projects to completion.
Professionalism delivering high-quality work while staying up to date with the latest advancements in AI.
Teamwork collaborating effectively across teams to integrate AI solutions into real-world applications.
We encourage intellectual curiosity and a keen interest in exploring AI trends, discussing future directions, and staying informed about market developments. Candidates should enjoy working in an open, well-documented manner and be eager to present their work to peers and stakeholders.
Responsibilities
Develop and optimize Transformer-based and Generative AI models for deployment on our edge AI processors.
Stay at the forefront of Generative AI and NN computer vision research, driving innovation in edge AI applications.
Benchmark and enhance vision and generative models, ensuring seamless integration with our AI toolchain, through our Model Zoo.
Collaborate with architecture and other software teams to co-optimize models for our unique processing architecture.
Support and engage with tier-1 customers, guiding them in deploying and optimizing their AI models on our platform.

Were looking for a hands-on, product-minded AI professional to help us tackle real-world cybersecurity challenges using existing LLM technologies (like OpenAI, Claude, Bedrock, and more). Youll be part of the Product & AI team, working closely with product managers, engineers, and internal stakeholders to translate problems into smart, working AI-powered solutions.

This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.



Key Responsibilities:

Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation

we are looking for a Head of AI to drive the strategic adoption and integration of AI across our B2B SaaS product and organization. In this role, you will set and execute the strategic AI agenda, ensuring alignment with business goals while identifying and prioritizing AI opportunities that drive innovation and efficiency.

This is a high-impact leadership role where you will take end-to-end ownership of AI strategy, guiding its development from initial research to full deployment. If you thrive on tackling real-world challenges, leading high-performing teams, and shaping the future of AI in B2B SaaS, wed love to hear from you.

Responsibilities

Strategic Leadership
Develop and execute the strategic vision for AI across the organization
Identify and help prioritize AI opportunities that align with business goals and drive innovation
With Product
With other stakeholders
Influence company-wide decisions and integrate AI into the product and the various business units.
Research and Development
Manage the AI research team and the AI development team
Drive teams execution and lead creative thinking to reach innovative solutions
Stay ahead of industry trends and emerging technologies to keep the organization at the forefront of AI advancements
Encourage and facilitate continuous learning and experimentation within the team
Management & Project Oversight
Oversee the planning, execution, and delivery of AI projects.
Ensure projects are completed on time, within budget, and meet the desired outcomes
Work closely with product and other stakeholders to gather requirements and build a plan
Manage the execution of the group, ensure productive relationship between the different disciplines within the team and with external stakeholders

We are seeking a AI Lead to drive the development and deployment of intelligent applications powered by ambient IoT platform. This role will be at the forefront of building AI-native interfaces that connect the physical and digital worlds redefining how users interact with real-time data, business operations, and physical assets.

This is a flexible leadership position: Ideal for someone who can build and lead a team, or an exceptional technical expert capable of executing as a high-impact individual contributor. The role reports to the Director of Strategy and will be central to shaping AI roadmap across internal tools, customer-facing solutions, and SDKs for external developers.

Responsibilities
AI Product Execution: Lead the development of GenAI-driven products, such as intelligent agents, copilots, and self-serve interfaces for real-world sensing and IoT data.

Architecture & Engineering: Design scalable, secure, and maintainable architectures for deploying LLM-powered services in production.

AI/ML Ops & Infrastructure: Own the full lifecycle of AI solutions prompt engineering, model evaluation, vector search, function calling, monitoring, retraining.

Team Leadership (optional): Mentor and grow a team of AI engineers and applied researchers, or collaborate across squads as a senior IC.

Cross-functional Collaboration: Work with data scientists, software engineers, product managers and business stakeholders to embed generative AI into the core of data product strategy.

Customer Use Cases: Translate ambient IoT data into actionable AI experiences supporting applications in logistics, sustainability, inventory management, and supply chain visibility.

Developer Platforms: Help build the SDKs and APIs that let customers and partners create their own AI-powered workflows using technology.

Experimentation & Research: Stay at the frontier of GenAI advancements (LLMs, RAG, agents, vision-language models) and apply them to real-world constraints and data environments.

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.

About us We are Tailor Brands. We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
We need you! We’re looking for a sharp, driven, and creative AI Prompt Writer / Engineer to join our growing team. In this role, you’ll help build, refine, and optimize AI voice agents that drive both sales and support interactions. You’ll be responsible for crafting high-quality prompts, testing AI performance through ongoing QA, and collaborating closely with internal domain experts to continuously improve outcomes. This is an entry-level opportunity for self-starters who thrive in fast-paced environments, take full ownership of their work, and have a track record of excellence in previous roles, projects, or academic experiences. Key Responsibilities:
* You are responsible for the ongoing operations and improvements of AI agents in the company.
* Write and refine prompts for AI agents across product sales and support use cases
* Monitor agent conversations and conduct QA to ensure quality, accuracy, and alignment with brand voice
* Identify and diagnose behavioral and technical patterns; suggest and implement prompt or logic improvements
* Collaborate with sales, support, and product leads to align agent performance with business goals
* Work with our partners to analyze and improve agent performance
* Develop and maintain prompt libraries and documentation for internal use
* Stay up to date on the latest in LLM capabilities, prompt engineering practices, and conversational AI trends

We are looking for an Engineering Manager to lead Gen AI team within the company's Engineering Group in Tel Aviv. You will lead a team that developing our company's next-generation Conversational Agents, designed for seamless integration across our platforms.
What Youll Do
Lead and mentor Gen AI team in developing conversational agents. Manage the team roadmap, facilitate team building, and oversee software project execution.
Develop and implement innovative AI-driven solutions to advance platform capabilities.
Work closely with different stakeholders; including developers, product managers, and business operations to align goals and outcomes.
Lead the development of Conversational Agents, from concept design to production deployment.
Explore and research advanced AI technologies and integrate with external APIs and services.

We are seeking a skilled AI/ML engineer with strong software development skills to join our dynamic team. The ideal candidate will have experience in model evaluation, improvement, and analysis, as well as hands-on experience with AI and GENAI technologies. Knowledge of AWS and GPU computing is an advantage. Experience with RAG-based projects and vision language models is a significant advantage.
Key Responsibilities
Evaluate and improve machine learning models.
Perform statistical analysis and interpret model results.
Develop and implement AI models using Python.
Utilize AWS services for model deployment and management - advantage.
Leverage GPU computing for accelerated model training and inference - advantage.
Collaborate with cross-functional teams to integrate AI solutions into products.
Stay updated with the latest advancements in AI and machine learning.

We are looking for a seasoned Tech Lead.
This role is a fantastic opportunity for professionals eager to steer critical projects over the years and are ready to apply their expertise to drive the success of complex projects.
About us
We are an NVIDIA partner, providing professional services of software development, Artificial Intelligence algorithms development, and performance optimization, maximizing the heterogeneous (CPU&GPU) hardware utilization.
Your Impact:
This role will be involved in development at varying levels of detail, identifying requirements and translating documented user stories and requirements into a technical approach, to spending time hands-on coding building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining code quality, and meeting deadlines.
Execute multi-tenancy and business configurability patterns to ensure efficient distribution to multiple client
Requirements
Drive technical excellence through your profound knowledge of python across diverse projects.
Implement systems with frontend and AI backend, including RAG systems
Harness your CUDA expertise to maximize the performance and efficiency of our computing platforms.
Oversee projects from ideation to completion, ensuring quality, timeliness, and budget adherence.
Mentor team members and foster a growth-oriented learning environment.
Apply your critical and creative problem-solving skills to troubleshoot and resolve intricate technical issues.
Working with Artificial Intelligence algorithms using Neural Networks
Full time Job
Location: Yokneam/Tel Aviv, Hybrid.