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We are seeking a highly experienced, AI-obsessed AI Senior Backend Engineer to join our core Engineering department. In this newly created, cross-functional role, you will be the driving force behind the companys internal AI transformation. You will act as the responsible for artificial intelligence, architecting, building, and deploying custom AI and automation systems from scratch to empower various departments and streamline operations.
Key Responsibilities:
Architect, develop, and deploy tailored AI systems and applications from the ground up to solve organizational challenges.
Identify process bottlenecks across different teams and design robust backend automation solutions to optimize daily workflows.
Lead the hands-on integration of modern Generative AI models, APIs, and frameworks into the company's internal infrastructure.
Build scalable, high-performance backend microservices and APIs to support heavy data processing and AI workloads.
Act as the technical AI focal point, partnering closely with internal stakeholders and department heads to gather requirements and deliver high-impact technological solutions.
Collaborate with product, DevOps, and other teams to ensure that AI solutions are aligned with user needs and business goals.

We are seeking a Backend Tech Lead to join a Full-Stack team that is part of the group responsible for main product line, the Imaging platform.
This team focuses on the radiologist's experience, providing the primary access point to AI. The team manages the application installed on the radiologist's computer and the Python-based Gateway service that delivers data to its endpoints.
In this role, you will be responsible for leading the design and development of our backend services, encompassing architecture, coding, and developer mentorship.
Responsibilities:
Lead Full-Stack Development: Lead the design and development of scalable and reliable backend services that power radiologist-facing applications.
Architectural Leadership: Drive architectural discussions and make key technical decisions within the team's domain, ensuring high quality, performance, and maintainability
Ownership: 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.
Development Work: Contribute hands-on to the implementation of backend services and occasionally to frontend components when needed.
Mentorship: Mentor and support engineers through design reviews, code reviews, and architectural discussions, promoting technical excellence and best practices.
Incorporate Best Practices: Champion best practices for code quality, testing, and CI/CD processes to enhance delivery consistency and reliability.
Strategic Collaboration and Influence: Work cross-functionally with product, design, and other engineering teams to ensure alignment and technical coherence across the Imaging Platform

we're looking for engineers who have experience playing a key role in development of complex, large scale systems within demanding commercial environments.
If you did that, and if you're excited to contribute to the future of AI in healthcare (especially if you're worked on systems of similar scale in the past), your place is with us
Responsibilities:
Be part of a team building complex, scalable, reliable backend systems and data infrastructure. Do it well, fast and impactfully.
Work well with others. Receive feedback, give feedback, help whenever you can.

We are looking for a top-of-the-line Senior Python Backend Engineer to develop state-of-the-art enterprise platforms, cloud solutions, and data engines. In this role, you will design mission-critical, high-availability distributed systems, build advanced APIs, and deploy software across diverse cloud and infrastructure ecosystems
Teams:
Management Team: Enterprise Control Panel: Builds the end-to-end REST-to-RPC API pipeline to process complex client requests. Core Infrastructure: Manages storage, network, and virtualization layers, utilizing concurrent Python for cluster deployments and system upgrades.
Data Engine Services: focuses on a modern cloud-native ecosystem, demanding specialization in Kubernetes orchestration, event-driven architectures, and asynchronous Python (FastAPI/Async I/O)
Cloud Team: focuses on cloud-hosted SaaS platforms, bridging low-level Python system architecture with multi-cloud deployments across major hyper-scalers (AWS, Azure, GCP).

As a Senior Data Engineer in our R&D team, you aren't just moving bytes; you are the architect of the world's most comprehensive food-intelligence engine. You will take full ownership of our ingestion pipelines, transforming massive volumes of unstructured web data into the actionable insights our customers rely on. This role requires a builder who can navigate complex anti-bot measures, design resilient distributed systems, and ensure our data remains flawless as we scale.

Key responsibilities:

Own end-to-end architecture and delivery of our web-scale data ingestion pipelines, from resilient scraping through transformation and storage.
Design and maintain scrapers that reliably bypass anti-bot measures and handle dynamic content at scale, adapting quickly as sources change.
Leverage AI coding assistants (Claude Code, Codex) to accelerate development, optimize pipeline logic, and ship faster within titling R&D cycles.
Build and manage distributed, cloud-based data pipelines that support real-time analytics and AI model deployment.
Proactively identify and resolve data quality issues before they reach production, ensuring accuracy and consistency across all sources.
Architect scalable API and system designs that connect pipeline decisions directly to business value and consumer-trend accuracy.
Monitor, troubleshoot, and continuously improve data workflows to keep the engine reliable as we scale.

Were building an AI-powered reverse engineering agent. This role is about the backend that makes it real: services that process binaries, orchestrate analysis pipelines, and deliver fast, reliable results.
What Youll Do
Build backend services in Python for large-scale binary analysis workflows
Design APIs and asynchronous workers that handle heavy processing reliably
Integrate with decompilers and internal analysis pipelines
Improve performance, correctness, and observability across the system
Take features from idea → production with high ownership.

Were looking for a Senior Backend Engineer to help build the core systems powering our company- the infrastructure, APIs, data pipelines, and AI-driven engines behind the product.
Youll own major parts of the backend, work closely with Product, AI, and Frontend, and ship features that are scalable, observable, and secure.
What you will do
What Youll Do
● Build scalable, production-grade backend systems that power our companys core product and AI capabilities
● Own features end-to-end: clarify requirements, design architecture, implement, test, ship, monitor, iterate
● Design and build services that support complex workflows (including AI-driven flows)
● Improve system reliability: observability, monitoring, incident readiness, performance tuning, and cost awareness
● Collaborate tightly with Frontend, Product, and AI/ML to deliver fast iterations with high quality.

About the Team
Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
What Youll Do
Design and Build Core Applications: Develop and optimize rich, data-centric web applications used by researchers globally, applying a strong focus on backend, infrastructures, architecture and performance
Contribute Across the Stack: Deliver scalable, secure software features end-to-end. This includes seamlessly integrating the backend with UI applications, other microservices and contributions to our infra domain (K8s, Docker, Terragrunt)
Collaborate on AI Tools: Partner with UI and AI engineers to integrate our cutting-edge medical AI co-pilot, turning complex data insights into practical, user-friendly features.
Influence Strategy and Culture: Actively participate in architectural discussions and product direction, contributing positively to our team's mission-driven culture of quality and ownership.
Why Join Us
Be part of a small, highly capable team where every engineer has a real voice and visible impact on the product, the technology, and the mission.
Work with people who care deeply about craftsmanship, collaboration, and purpose - not just shipping features.
Build technology that directly advances medical research and improves lives.
Enjoy autonomy, ownership, and end-to-end responsibility, from concept to production.
Join a company that blends startup agility with a clear, long-term vision to transform healthcare through AI.

We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.
What Youll Do:
Design and build reusable AI platform capabilities used across multiple products.
Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.
Design and build internal AI platforms such as organizational knowledge (Brain), AI developer tools, autonomous engineering workflows, and shared AI services.
Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.
Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.
Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.
Build and operate production AI services using modern cloud-native technologies.
Improve the reliability, scalability and observability of AI systems.
Define engineering standards, reusable patterns and best practices for AI development across engineering teams.
Lead technical proof-of-concepts and drive adoption of innovative AI technologies.
Mentor engineers and provide technical leadership on complex AI initiatives.

As a Senior Backend Engineer at our company, youll be a core builder with a strong infrastructure mindset, responsible for designing and delivering backend systems that can support several billion data points collected daily, with high reliability and real-time visibility.
This role is for someone who can own complex systems end-to-end, move fast, build from scratch, automate everything possible, and create production-grade infrastructure that scales.
Responsibilities
Build and own backend infrastructure handling billions of data points daily
Design scalable services with reliability, automation, and observability
Enable daily monitoring at scale with strong SLAs
Build parallel execution systems to cut processing and report times
Deliver real-time monitoring and alerting for system and data health
Reduce manual work through automation, tooling, and processes
Own delivery end-to-end: architecture → production → performance.

Were looking for a passionate backend engineer to join us as a founding team member!
If you love the startup life and want to be one of the first employees, develop from scratch and have a key role in shaping the future of our product - were looking for you!
What Youll Be Doing
Develop end to end customer-oriented features, pipelines and cloud services
Own your work end to end, from design and testing to production
Be part of a development team, collaborate with your peers and contribute ideas and knowledge.

Were looking for a Senior Backend Engineer to join our core team and build the engine behind AI-native security. We aren't just building another dashboard, we are architecting a system that processes massive data streams and pushes AI models to their absolute limits to outthink modern attackers. If you are a builder at heart who thrives on high-scale challenges, ownership, and the fast pace of an early-stage startup, youll fit right in.
What You'll Do:
Design and build the core backend systems from the ground up
Architect scalable, resilient infrastructure that processes large volumes of security data
Make high-impact technical decisions with real ownership
Work closely with AI and security researchers to turn cutting-edge ideas into production systems
Take features from concept through production and monitoring
Help define engineering standards, culture, and best practices.

We're looking for a Senior Software Engineer to own real parts of it.
What you'll actually do?
Own entire pieces of the product- from "here's a vague problem" to "it's running for enterprise customers".
Design systems that survive real scale: multi-tenant, high-volume, real-time, always-on.
Move fast with AI agents, and stay completely responsible for what lands in production.
Make the team better: your tooling, your workflows, whatever you figured out last weekend.

If youre ready for the next big step in your software development career - read on.
In this role, youll focus on building robust, scalable, and efficient backend
solutions that enable developers to create production-grade AI Agents. You will design and optimize the platforms architecture, implement new features, and ensure seamless integration with APIs, making it easier to build reliable and capable AI Agents for any use-case. This is a hands-on role that combines backend engineering with shaping the future of AI-driven development, involving both research and navigating ambiguity.
Responsibilities:
Design, develop, and maintain the core backend architecture of our AI-driven platform.
Take ownership of end-to-end development processes, from design to deployment. Yes, this means brand new pillars in the platform.
Build and deploy scalable APIs, micro-services, and systems that enable seamless AI Agent workflows.
Research and integrate advanced technologies to improve system scalability and reliability.
Ensure code quality through testing, code reviews, and best practices.