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we are looking for a Senior Full Stack Engineer to join our Engineering team. In this role, you will lead the design and development of end-to-end features across our gifting platform, with a strong focus on backend architecture. Youll play a key role in shaping scalable systems, driving technical decisions, and delivering high-impact solutions in a fast-growing, cloud-based SaaS environment.

Working with modern technologies such as React, Node.js, TypeScript, Serverless architecture, and Kafka, you will collaborate closely with product, design, and data teams to build reliable, performant, and user-centric experiences. You will also help evolve our engineering standards, development processes, and use of emerging tools-including AI-to improve team productivity and product quality.



You will
Lead the design and implementation of complex, scalable systems end-to-end (frontend and backend, with backend focus)

Own projects from ideation through production, including architecture, development, deployment, and monitoring

Make and influence key technical decisions, balancing speed, scalability, and maintainability

Collaborate cross-functionally to translate business needs into robust technical solutions

Drive best practices in code quality, testing, observability, and security

Mentor engineers through code reviews, design discussions, and knowledge sharing

Continuously improve development processes, tooling, and team efficiency

Contribute to a strong engineering culture of ownership, accountability, and continuous learning

we are seeking an experienced Director of Engineering to lead and scale our software, QA, DevOps, and IT groups in a leading AI startup. This role combines strong people leadership, ownership of execution, and deep technical understanding of production-grade systems.
You will manage engineering managers, drive delivery excellence, and ensure alignment between R&D strategy and business priorities.

Responsibilities:

Lead two engineering groups: IT & DevOps and Software & QA
Manage and develop engineering managers and team leads
Own execution, delivery, quality, and operational excellence across all engineering domains
Drive scalable engineering processes, methodologies, and best practices
Partner closely with Product, Algorithms, Data, Security, and Business stakeholders
Ensure production stability, CI/CD excellence, system reliability, and security
Lead capacity planning, hiring, onboarding, and performance management
Translate high-level strategy into execution plans and measurable outcomes
Foster a culture of ownership, accountability, and continuous improvement
Support architectural and design discussions when needed (hands-on leadership mindset)

we are looking for a AI Senior Software Engineer, ML Platform.
This is a Senior AI Software Engineer role within AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities:
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems)

we are looking for a AI Staff Software Engineer, ML Platform.
This is a Principal AI Software Engineer role at the heart of AI Engineering group-where algorithms, infrastructure, and products intersect. Youll lead the evolution and scaling of AI architecture, ensuring reliability, efficiency, and impact across global clinical workflows. The role combines technical depth with cross-functional influence, strengthening how our AI systems are built, integrated, and delivered to drive ongoing impact for patients and care teams.
Responsibilities:
Lead cross-domain engineering initiatives connecting AI algorithms (CV, NLP, and deep-learning systems), software, and data systems-from design to delivery.
Stay hands-on, contributing to AI-serving (training and inference), integration, and orchestration components while setting high technical standards.
Partner with Algo teams to connect algorithmic innovation with strong system design, ensuring smooth delivery across Product and Engineering.
Guide architectural evolution, ensuring efficiency, consistency, and maintainability across AI workflows.
Communicate direction and priorities clearly, aligning teams around technical goals.
Mentor engineers and promote technical excellence, sound design, and shared best practices.
Foster collaboration and shared ownership, helping maintain a culture that values clarity, curiosity, and technical excellence.
Uphold quality and reliability-including clean code, testing, and CI/CD discipline-while evaluating and adopting new tools that enhance performance and long-term scalability.

we are looking for a Senior Software Engineer.
The Senior Software Engineers main responsibilities are developing the customer-facing products, enhancing medical workflows, integrating with our AI solutions, and growing our products scale both on technical aspects as well as scaling our product offerings.
Responsibilities:
Work as an integral part of our senior (and super strong) development team.
You will have a leading role, central responsibility and will be the owner for the design and development of many of our customer-facing components and projects (both frontend, backend and databases).
Receive end-to-end ownership for product features from ideation to deployment, and work closely with Product and UX to bring the teams imagination to life.
Be trusted with autonomy, freedom and influence to design solutions and make technical decisions, in a critical position for the companys growth.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidocs Imaging Platform.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple systems and teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with engineering and product leadership to define how our platform evolves - ensuring scalability, reliability, and performance as we grow.
Youll partner with senior engineers across domains to establish technical standards, solve high-impact problems, and align the organization around key architectural principles.
This role combines strategic architectural ownership with active technical contribution - you will stay close to the systems and code, ensuring architecture and reality evolve together.
Responsibilities:
Lead company-wide or cross-team technical initiatives, ensuring architectural alignment across multiple product areas.
Define and drive long-term technical strategy for the Imaging Platform in collaboration with engineering leadership.
Provide architectural guidance, conduct design reviews, and mentor senior and staff engineers.
Lead and formalize engineering best practices around performance, reliability, and observability.
Contribute hands-on to architectural spikes and first-of-a-kind implementations where deep expertise is required.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.
Represent the group in company-wide architecture discussions and technical forums

We are looking for an experienced and highly motivated excellent Software Engineer to join the Haifa Image Generation group. Youll design and develop software for the next generation CT product, implementing new complex image processing algorithms and control logic enabling new premium CT products that are expected to revolutionize the industry. You should have a strong C++ background, good communication skills, and an ability to integrate well as part of the team and global organization, motivated to solve sophisticated problems. Youll be developing CT reconstruction software applications and services computational tools, working in the areas of algorithm development, control logic, platform, application, AI, collaborating with engineers across the globe from US, Sweden, Japan, India and China. Experience in developing software for healthcare and especially for CT is a strong advantage.
Roles and Responsibilities:
In this role, you will:
Build, design and implement CT image generation/reconstruction software - algorithms and applications.
Lead complex SW designs and related discussions
Collaborate with system engineers, algorithm developers and other software developers from across the globe to implement solutions that are aligned with and extend shared platforms and solutions for CT
Apply principles of SDLC and methodologies like Agile/Scrum, CI, requirements analysis, documentation practices, software and product security, scalability, refactoring and testing techniques
Understand, assess and optimize algorithms and applications performance
Take part in developing a common imaging platform for all imaging products
Work on core data structures and algorithms and implement them using C++, Python, CUDA, OpenCL.

we are looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," we are building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless workers who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. Work in a team of top-of-the-line software engineers, developing state-of-the-art our company AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data.
our company on Cloud software design includes:
A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
Deploying our company OS in all major hyper-scalers cloud vendors.

we are looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. Work in a team of top-of-the-line software engineers, developing state-of-the-art our company AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data.
our company on Cloud software design includes:
A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
Deploying our company OS in all major hyper-scalers cloud vendors.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," we are building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless workers who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
What You'll Do:
Design and develop core components of a next-generation distributed storage platform.
Build scalable and resilient distributed services handling petabytes of data across large clusters.
Participate in architecture discussions around consistency, replication, fault tolerance, and system scalability.
Investigate and resolve complex production issues spanning storage, networking, distributed services, and operating system layers.
Collaborate closely with architects, researchers, and engineering teams to deliver high-performance data infrastructure powering AI, analytics, and enterprise workloads.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," we are building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless workers who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.

We are looking for a Senior software engineer to join our SaaS platform team.
In this role, you will develop distributed cloud-native applications with a focus on scalability, availability, and security.
You will take part in designing and building microservices, operators, and backend components running on GCP Cloud Run, Kubernetes, and Linode Kubernetes Engine (LKE).
As a Senior Software Engineer, you will be responsible for:
Developing cloud-native microservices and backend components in Golang
Building and maintaining SaaS infrastructure and services for scale and resiliency
Working with GCP, Kubernetes, and Linode, including development of Kubernetes operators
Using Helm, Terraform, GitHub Actions, and other modern tooling to support deployment and automation
Collaborating with other engineers, architects, and product managers to drive features end-to-end
Taking ownership of system design decisions and contribute to the long-term technical roadmap

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.