דרושים » תוכנה » Business Applications Engineer

Were looking for a passionate and hands-on Business Applications Implementor to join our growing Business Applications team.
Responsibilities:
Own and manage core enterprise systems (e.g., Atlassian suite, Monday.com, Zendesk, NetSuite) including configurations, enhancements, and user support.
Implement and optimize integrations between systems using tools such as Make.
Lead AI tools adoption- from proof of concept to full deployment, and support the company in leveraging generative AI and other innovations.
Collaborate with teams across the company (Finance, Operations, Support, etc.) to understand their processes and translate needs into scalable digital solutions.
Provide ongoing support and troubleshooting for internal systems, ensuring high performance and stability.
Document system processes, configurations, and knowledge to support growth and maintain transparency.

Are you passionate about AI and machine learning? Do you thrive on rapid experimentation, prototyping, and building innovative tools that solve real business problems?
Do you enjoy diving into unfamiliar technologies, quickly assessing and demonstrating their potential impact?
Were looking for an exceptional AI Innovation Engineer to join the Office of the CEOsomeone who can seamlessly blend deep technical expertise with product thinking and business acumen. In this high-impact role, youll lead AI initiatives that drive both internal efficiency and product innovation, working closely with the CEO, R&D, and Product teams.
Youll take ownership of architecting and building fast-moving PoCs, exploring new technologies, and developing custom solutions that go beyond standard integrations to deliver real business impact.
As an AI Innovation Engineer, you will:
Rapidly design and develop PoCs using cutting-edge AI and ML technologies.
Lead the design and development of AI-powered tools that streamline internal processes and boost productivity.
Build innovative AI features into product suite, focusing on tangible customer and business impact.
Explore and evaluate new frameworks, tools, and approacheswithout being limited to familiar stacks.
Partner closely with Product teams to deeply understand use cases, define requirements, and shape AI-driven solutions.
Work hand-in-hand with R&D and Engineering teams to bring AI concepts to lifefrom ideation to production.
Take ownership of complex technical challenges, architecting AI solutions that are scalable, maintainable, and robust.
Act as a trusted advisor to the CEO, providing insight into the strategic application of AI across the business.
Research, evaluate, and implement emerging AI technologiesprioritizing in-house development of tailored solutions where it creates strategic advantage.
Bridge technical and business worlds, ensuring AI initiatives align with overall company objectives.

As Director of Global Technical Support, you will lead our global technical support team, focusing on delivering exceptional service related to our products and solutions. Your leadership will ensure high customer satisfaction, efficient resolution of technical issues, and strategic development of support infrastructure leveraging automation and GenAI.You will be expected to be proficient in technical support best practices and bring them to our company.
Location: Tel Aviv, Israel, hybrid role (3 days a week from the office).
Key Responsibilities:
Lead and strategically manage a global technical support team, overseeing day-to-day operations and long-term support strategy.
Develop and implement automated support solutions and integrate advanced GenAI tools to streamline operations and enhance customer interactions.
Serve as a senior escalation point, providing expert guidance on complex technical issues related to our products and solutions.
Collaborate closely with R&D, Product Management, Customer Success, and Sales teams to align technical support operations with product development and customer requirements.
Foster continuous improvement through advanced analytics, KPIs, customer feedback, and innovative support methodologies.
Define and ensure adherence to Service Level Agreements (SLAs), maintaining superior levels of customer satisfaction globally.
Develop and manage internal and external knowledge bases, documentation, and training programs centered around GenAI and automation.
Drive team development through effective coaching, mentoring, and performance management practices.

we believe when you get the people thing right, you can build teams that can change the world. Were helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloittes "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And were just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

Were in search of an LLM Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide. you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!
As an LLM Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Create synthetic datasets and develop end-to-end GenAI workflows, from data preprocessing to model deployment
Evaluate and integrate new AI models and technologies, staying at the forefront of advancements in the field
Design and build AI agents that automate key workflows for recruiters, empowering them with intelligent automation capabilities
Optimize AI-user interactions through prompt engineering and other techniques to enhance our AI-driven hiring assistant
Implement practical applications of LLM research findings, creating scalable tools for user-facing applications
Conduct data analysis and develop metrics to measure the performance and impact of AI solutions.
Collaborate with cross-functional teams and our global R&D team to drive AI innovation and evolve strategies across our products

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

We are looking for a Software Developer.
As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

The Data-Apps team at our company is seeking a versatile Principal Full-Stack Engineer to lead the development of high-impact products for both internal stakeholders and external users. As a central member of our Research department, you will take full ownership of our AI-driven solutions architecture, design, and evolution, driving organization-wide technical strategies.
This role demands a proven leader with deep expertise in the development of backend, frontend, and cloud infrastructure, including Infrastructure as Code (IaC). You will drive the entire development lifecyclefrom conceptualization and system design to deployment and maintenanceensuring our solutions are scalable, secure, and aligned with business needs.
Youll work closely with AI researchers, data analysts, and medical researchers to develop solutions that maximize the impact of our companys AI technology.
This role is pivotal within our company, offering the opportunity to shape our technological landscape while driving the future of AI in healthcare.
Responsibilities
Architectural Leadership: Define and drive organization-wide technical strategies that shape our AI products and ensure long-term scalability and robustness.
Lead Full-Stack Project Development: Spearheaded a high-impact project, overseeing all technical stages from initial design to final deployment. This includes crafting user interfaces with modern frameworks and backend system architecture.
Implement Web Applications: Utilize ReactJS and VueJS alongside HTML and CSS to ensure seamless user experiences.
Develop Scalable Backend Systems: Build distributed, scalable backend solutions, optimizing for performance and reliability. Incorporate AWS cloud services, focusing on event-driven architecture for efficiency and scalability.
Incorporate Best Practices: Champion code quality, CI/CD processes, and agile methodologies to enhance team excellence and product reliability.
Strategic Collaboration and Influence: Engage with a diverse array of stakeholders, including users from different backgrounds, development teams, product managers, and project managers. Tailor development efforts to meet a wide range of user needs and business objectives, leveraging your technical expertise to influence product direction and strategy effectively.
Cost-Effective Design and Development: Strategize development and infrastructure design with an emphasis on cost efficiency, understanding the pricing and operational costs, and planning for sustainable growth.

We are looking for a Customer Solution Engineer.
The Solutions Engineer role in the Customer org is a unique hybrid of engineering, consulting and customer-facing responsibilities. It requires an understanding of our clients marketing goals and tailoring solutions to achieve those goals.
The Solutions Engineer is responsible for advising on efficiently integrating products with our client's internal systems and 3rd parties systems. He/She will be responsible for interacting with clients partners, and internal teams including Customer Success, Data Science, Professional Services, Product and R&D to ensure that clients have the solutions needed to successfully work with the platform.
The ideal candidate is highly detail-oriented with a hands-on approach, tech-savvy, and organized. They possess excellent communication and customer-facing skills and have a passion for excellence, innovation, and success. They thrive on investigating and troubleshooting technical issues, using their problem-solving abilities to find solutions.
This is not a behind the scenes role. Once trained on the platform and tools, the Customer Solutions Engineer will quickly start working directly on client projects and collaborating with our cross-functional teams, leveraging the teams best practices.
Responsibilities:
Analyze current technologies used within the company to provide optimal solutions based on the client's needs
Propose and establish a framework for necessary contributions from various departments
Work closely with internal team (Product, R&D) to design the solution based on requirements
Account for possible project challenges on constraints including, risks, time, resources and scope
Work closely with project management teams to successfully monitor the progress of implementations
Provide detailed specifications for proposed solutions
Analyze, debug, troubleshoot and proactively drive forward solutions
Master products and technologies in the domain of data integration, real-time event streaming and cloud solutions
Be the technical focal point for the entire Customer Success org
Lead calls with clients to understand their technical and business needs
Work with partners to analyze, define, and own the tech integrations to serve multiple clients

We are looking for a Director of Engineering to lead our growing engineering team and help shape the future of AI security. As a key leader in our organization, you will drive the development and execution of our technical vision, ensuring that our platform continues to scale and innovate. You will not only oversee ongoing engineering operations but also play a pivotal role in building and structuring the engineering organization from the ground up, fostering a high-performance culture, and implementing best practices. Additionally, you will take ownership of the core aspects of product, driving the technical strategy and innovation required to develop and enhance its foundational capabilities.
Responsibilities:
Lead and manage the engineering team, including hiring, mentoring, and developing engineers to maximize their potential and foster a culture of continuous improvement.
Develop and implement engineering strategies aligned with business goals, focusing on scalability, reliability, and innovation.
Oversee the entire software development lifecycle, ensuring timely delivery of high-quality products while adhering to best practices in architecture and coding.
Collaborate closely with product, design, and other cross-functional teams to align engineering efforts with business and product priorities.
Establish and maintain engineering standards, processes, and tools to increase team efficiency and ensure code quality.
Drive technical initiatives and innovations, staying up to date with industry trends and integrating relevant new technologies into technology stack.
Monitor and manage project timelines, budgets, and resources to meet company objectives and deliverables.
Act as a technical advisor to the leadership team, providing insights and recommendations based on technological expertise.

As a Frontend Engineer , youll play a key role in developing our next-generation traffic management platform, helping users make critical data-driven decisions.

You will be part of a cross-functional product squad, working closely with designers, product managers, and engineers to deliver seamless, user-friendly interfaces. The features you develop will play a key role in advancing road safety and strengthening public safety through data-driven solutions.

In this role, you will build reliable, scalable, and maintainable web applications, using modern frameworks and best practices to deliver high-quality results. Your attention to performance, usability, and code quality will be essential in shaping our platforms user experience.

Key Responsibilities:

Contribute as a core member of a business-focused squad, actively involved in all stages of the development lifecycle.
Take ownership of user-facing features from design through development, testing, and deployment.
Collaborate with designers and product managers to translate designs into functional components.
Build responsive, accessible, and performant web applications.
Optimize UI performance and scalability across browsers and devices.
Participate in code reviews, maintain high engineering standards, and help drive technical excellence.
Work closely with backend engineers to ensure smooth API integration and data handling.
Stay up to date with modern frontend trends and continuously seek ways to improve.