דרושים » הנדסה » Generative AI Specialist

We are seeking a skilled IT Automations & AI Expert to join our dynamic IT department. In this role, you will play a crucial part in designing and implementing automation solutions and integrating AI systems to streamline business processes. Youll leverage your coding expertise in Python and JavaScript, and your hands-on experience with automation platforms such as Zapier, Make, or similar tools to drive innovation across our organization. This position will report to the IT Manager.

What youll do:

Develop Automation Solutions: Design, build, and implement automation workflows using platforms like Zapier, Make, and other similar tools.

AI Integration: Integrate AI systems into existing IT frameworks to enhance operational efficiency and data-driven decision making.

Custom Coding: Write and maintain scripts and applications in Python and JavaScript to support automation and AI initiatives.

Collaborate & Innovate: Work closely with cross-functional teams to identify opportunities for automation and AI enhancements across various business processes.

Optimize Systems: Monitor, troubleshoot, and optimize automation workflows and AI integrations to ensure reliable performance.

Technical Support: Provide technical expertise and support for automation and AI systems, addressing challenges and implementing improvements.

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 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.

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 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.

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 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.

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.

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 looking for a AI Engineer
Responsibilities:

Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

he Business Data Engineering Lead is responsible for transforming raw data into actionable insights that drive business decisions across company functions (executive leadership, Sales, Marketing, Finance, People, etc). This role involves extracting and integrating data from various sources, building ETL pipelines, calculating key metrics, and developing visualizations to support strategic decision-making. The ideal candidate combines technical expertise with business acumen and strong communication skills to bridge the gap between data and business needs.
Responsibilities:
Collaborate with executives and business teams (sales, marketing, finance, HR, operations) to understand data needs and translate them into analytical solutions.
Extract, clean, and integrate data from various sources, including databases, data warehouses, and external systems.
Design, build, and maintain ETL pipelines to ensure efficient data processing and transformation.
Develop and calculate key performance metrics (KPIs) tailored to business objectives.
Create clear and compelling dashboards and visualizations to communicate insights effectively.
Perform data analysis to identify trends, opportunities, and risks that inform strategic decision-making.
Ensure data accuracy, consistency, and integrity across all reporting and analytics efforts.
Continuously improve data models, workflows, and reporting processes to enhance efficiency and scalability.
Stay up to date with industry trends and emerging technologies in data engineering and business intelligence.
Educate and support business stakeholders in using data-driven insights for better decision-making. Provide analytical insights beyond just providing the data.