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Required AI Platform Engineer
Position Overview:
We're assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As an AI Platfrom Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
Build advanced AI platform that operates both as a cloud SaaS and as a fully self-contained on-prem / edge deployment, designed for privacy-sensitive and security-critical environments, at the intersection of backend development, AI integration, DevOps, and open-source systems engineering.
You will be part of the core team responsible for adapting, hardening, and operating our SaaS architecture in on-prem and single-node environments (on Prem servers, laptops). Working closely with architecture and product management and play a key role in making complex AI systems deployable, reliable, and operable outside the cloud.
Key Responsibilities
Platform & Application Engineering:
Adapt cloud-native AI services to on-prem and edge deployments (single node, no managed cloud services).
Build and maintain full-stack components: Backend APIs (Python / Node.js), Lightweight UIs or internal tools when needed, Ensure services are stateless, configurable, and portable across environments.
AI & Open-Source Integration:
Integrate and operate open-source LLMs for:
RAG pipelines
Agentic workflows
Tool calling and orchestration
Work with: Embedding models, Vector databases (local and embedded modes), Analytical engines (e.g., embedded SQL / columnar systems), Optimize inference for CPU / single-GPU environments (quantization, batching, caching).
DevOps & Runtime Engineering (Strong Focus):
Package services into portable Docker containers usable in:
On-prem servers (Kubernetes)
laptop / edge devices
Implement in-process scaling strategies (worker pools, task queues, batching).
Build simple, reliable deployment and startup flows (no heavy orchestration).
Manage configuration, secrets, logging, and observability in constrained environments.
Systems & Reliability:
Design for: Offline operation, Limited resources, Predictable performance
Implement graceful degradation between: SaaS mode, On-prem server mode, Single-node / laptop device mode, Debug complex interactions across AI models, storage, and runtime systems.

What will you do
Lead the design, development, and optimization of core backend services using Java and modern JVM technologies.
Own the architecture and performance of mission-critical components: data ingestion, processing pipelines, distributed services, storage abstractions, and internal frameworks.
Drive large-scale refactoring, modernization, and reliability initiatives.
Establish and maintain high engineering standards, code quality, and best practices across the entire R&D
Build and improve systems that handle high throughput, low latency, and massive data scale.
Work closely with DevOps/SRE/R&D teams to strengthen infrastructure, observability, automation, and deployment practices.
Diagnose complex production issues spanning multiple services, layers, and technologies.
Continuously improve system performance, resource efficiency, and cost footprint.
Lead, mentor, and grow a team of backend engineers and define best practices for the entire R&D
Conduct technical reviews, coaching, and hands-on training to elevate the teams skill set and the R&D
Collaborate with cross-functional teams to understand platform needs and translate them into a clear engineering roadmap.

As our DevOps Team Lead you will work with cutting-edge technologies and take ownership of building and evolving a scalable, globally distributed infrastructure.
In this role, you will:
Lead and mentor DevOps engineers, providing technical guidance, setting best practices, and supporting professional growth.
Collaborate closely with engineering, security and data teams to deliver scalable and reliable solutions.
Design, architect, deploy, and maintain robust cloud infrastructures across AWS and Azure.
Own and continuously improve CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
Implement and manage monitoring, logging, and alerting solutions to ensure system reliability and performance.
Provide hands-on troubleshooting and resolution of complex infrastructure issues across production, staging, and development environments.
Promote operational excellence, security best practices, and cost optimization across the cloud environment.
Act as a technical leader and decision-maker, balancing hands-on execution with strategic planning.

Were looking for a highly skilled AI Engineer to join our Forensic Research Group and help shape the next generation of intelligent forensic platforms.
Youll work at the intersection of Generative AI, agentic systems, and real-world data, building advanced capabilities for both internal tools and production systems that transform how complex data is analyzed and understood.
Using state-of-the-art models and emerging AI paradigms, youll design systems that move beyond traditional pipelines into autonomous, adaptive workflows.
Youll help define the future of agentic decoding - where AI doesnt just assist, but actively reason, explore, and uncover critical evidence, impacting millions of cases worldwide.
If youre excited about building impactful AI systems and solving complex, messy problems, this role is for you.
What Youll Do:
Design and build AI-driven and agentic solutions to parse, analyze, and interpret data from forensic extractions (including mobile devices)
Develop GenAI-powered capabilities for understanding, structuring, and reasoning over unstructured data
Combine LLMs, multi-agent systems, and heuristic approaches to improve data identification, classification, and insight generation
Build autonomous and semi-autonomous pipelines that transform manual and brittle workflows into scalable, intelligent systems
Work with real-world, noisy datasets to uncover patterns, anomalies, and meaningful structures
Collaborate closely with forensic researchers and engineers to translate domain expertise into AI-native solutions
Influence system architecture, tooling, and the evolution of internal AI platforms and agent frameworks
Evaluate, fine-tune, and integrate state-of-the-art models (LLMs, multimodal models, etc.) for complex real-world problems.

Required AI Architect
Position Overview:
As the AI Architect for our SaaS Platform & Products, you will define and drive the end-to-end AI architecture that powers our cloud AI platform and product capabilities, while ensuring strong alignment with security, privacy, reliability and cost-efficiency requirements. You will partner closely with engineering leaders, product management, data science, security and operations to translate business needs into a scalable, governed and AI platform that accelerates innovation across multiple product lines.
This is a hands-on architecture role: you will set technical direction, run architectural reviews, and build prototypes to validate technology choices and de-risk delivery.
Key Responsibilities:
Own the AI Vision: Take end-to-end ownership of the AI architecture across, including our cloud AI platform, agentic AI infrastructure, and on-prem/hybrid AI deployments.
Architect an AI Platform for SaaS Products: Define reference architectures and shared building blocks (e.g., AI gateways, orchestration runtimes, memory/RAG systems, vector search, evaluation frameworks, observability, and guardrails) that can be adopted consistently across products and teams.
Cost Optimization and Scalability: Provide architectural leadership to ensure AI systems are designed for cost efficiency and scalability, actively identify and implement opportunities to optimize cloud spend (FinOps), improve utilization, and meet latency/SLO targets.
Product-Centric Collaboration: Collaborate with engineering, product, data science, security, and operations teams to translate product requirements and business needs into a strategic AI architecture that drives measurable product value.
Technology Evolution and Prototyping: Evaluate new technologies, tools, and methodologies to continuously improve our AI systems, build prototypes and proof-of-concepts to validate approaches and accelerate decision-making.
Technical Reviews, Standards and Mentorship: Lead technical design reviews and provide guidance on best practices and emerging technologies. Act as a technical authority and mentor, fostering a culture of engineering excellence and pragmatic delivery.
AI Governance, Privacy and Security: Ensure AI capabilities comply with data privacy, security, and ethical AI guidelines. Partner with security and legal stakeholders to implement governance controls and risk mitigations appropriate for regulated environments.

We are seeking a highly skilled Senior Android Developer with strong experience in building native Android applications (Java/Kotlin). This role involves leading the end-to-end development of our Android products, working closely with cross-functional teams, and driving architectural and technological decisions. The ideal candidate is hands-on, proactive, and passionate about delivering high-quality mobile experiences in the medical tech field.
Responsibilities
Lead the design, development, and delivery of native Android applications from design to production.
Develop new features and enhance existing functionality while ensuring performance, security, reliability, and user experience.
Ensure scalable architecture and maintainable code using design patterns such as MVC/MVVM.
Manage application lifecycle components including background tasks, offline sync, and resource optimization.
Collaborate closely with Product, Backend, and QA teams to build end-to-end solutions.
Integrate and develop third-party libraries, SDKs, push notifications, and RESTful APIs.
Troubleshoot, diagnose, and resolve issues across the Android ecosystem.
Stay updated with modern Android development trends and proactively suggest improvements.

This role oversees security governance, risk management, compliance, and incident readiness, while working closely with engineering, product, legal, MIS and other teams to embed security across the organisation and support customer trust and business growth.
Key Responsibilities
Develop and maintain the companys information security strategy, policies, and long-term roadmap. Both for production environments and for internal business by overseeing security of enterprise systems.
Lead security risk assessments, mitigation planning, and ongoing security monitoring.
Lead incident response planning, preparedness, and execution.
Manage security governance, including controls, documentation, and audit readiness.
Ensure compliance with relevant standards and regulations such as SOC 2, ISO 27001, GDPR, and emerging AI frameworks.
Direct security architecture reviews and support secure development practices across product and engineering teams.
Ensure security is integrated into engineering culture and delivery without hindering velocity, while aligning platform security with engineering practices and production resiliency requirements.
Oversee vendor security, penetration testing, and third-party risk management.
Serve as the primary security contact for customers, partners, auditors, and regulators, and own the security aspects of the companys products, in alignment with business and customers needs.
Provide regular updates to executive leadership on security posture, risks, and priorities.

This role sits at the technical and commercial center of that motion: delivering partner integration experiences that both delight customers and create measurable revenue impact.

Top priorities:
Working closely with customers and partners to understand how Cloudinary is used when integrated in customer technology stacks.
Executing on Cloudinarys strategic vision - to become ubiquitous as a media platform, for multiple personas in any technology stack that touches media.
Act as the technical PM for ISV activity - lead integrations for selected CMS, PIM and MarTech vendors.
Work closely with partners and customers to define integration scope, success criteria and adoption plans.
Partner tightly with Product Management platform teams, to represent integrability requirements - act as an internal customer for platform enhancements that serve the integrability needs, and bring PM ownership into Product where needed.
Define and oversee successful development of integrations - choose and run the delivery model (internal, outsourced vendors, or agentic/automated approaches), and be accountable for delivery, reliability and time-to-value - teaming up with Program management, and ecosystem Architecture, for technical oversight.

Were looking for a Lead Product Manager (DAM) with a strong SaaS background and a practical passion for AI. Youll own major parts of our DAM experience and platform, helping customers move faster from content creation to activation, with higher adoption and measurable business impact.

In this role, youll lead end-to-end initiatives across the DAM lifecycle: ingestion, collaboration and approvals, content lifecycle workflow, secure sharing, and external content activation. Youll also collaborate with adjacent teams on metadata/search and integrations where needed.
Responsibilities
Own a significant product area within DAM: define the strategy, roadmap, success metrics, and execution plan - from discovery to GA and adoption.
Translate customer problems and business goals into crisp product bets: PRDs, user journeys, edge cases, phased delivery plans, and clear what good looks like.
Drive customer obsession at scale: lead discovery with design partners, validate problems, run pilots, and turn learnings into roadmap decisions and shipped outcomes.
Partner tightly with Engineering, Design, Data/Analytics, and Technical Writing to deliver high-quality experiences with strong UX, reliability, and performance.
Work cross-functionally with Sales, Solutions, Support, Customer Success, and Marketing to support launches, competitive differentiation, expansion, and adoption - and actively participate in strategic sales cycles (discovery, solution shaping, exec alignment) to help close key deals.
Evaluate and manage third-party/partner capabilities where needed (including white-label components), balancing build vs. buy, cost, time-to-value, and long-term maintainability.
Develop a deep understanding of DAM personas and workflows (creatives, marketers, brand teams, operations, agencies, IT/security), and design for real day-to-day constraints.
Build industry-leading AI agents and agentic experiences that measurably improve customer ROI and reduce content time-to-market (TTM).
Use AI thoughtfully to improve outcomes (e.g., approvals, workflow, activation), with a strong bar for trust, quality, and safety.
Work closely with adjacent product teams to align on shared workflows and platform dependencies - without owning their roadmaps.

seeking a highly experienced and results-oriented Managing Director to lead our image product line. This pivotal role offers the opportunity to drive significant growth and innovation within a dynamic and rapidly evolving market.
Responsibilities:
Own full P&L accountability for the image product line, ensuring sustainable revenue growth and profitability.
Develop and execute a comprehensive business plan for growth, including market analysis, go-to-market (GTM) strategy, product roadmap alignment, and operational execution.
Define and monitor the companys business goals for image and build the overarching strategy to achieve them.
Lead and matrix-manage a cross-functional team (Sales, Marketing, Product, Customer Success, Operations) dedicated to Images success.
Collaborate with Product leadership to shape product direction, ensuring offerings align with customer needs, competitive trends, and future market opportunities.
Drive go-to-market excellence, including positioning, messaging, pricing, packaging, and channel strategy.
Establish clear cross-company processes that ensure communication, alignment, and execution at scale.
Serve as the primary advocate and representative of the image business line, champion its priorities internally across the organization, and represent it externally with customers, partners, industry stakeholders, and at executive and leadership levels.
Identify and pursue strategic partnerships that accelerate growth and product adoption.
Monitor KPIs, market signals, and customer feedback to continuously adapt strategies and maintain a competitive advantage.

Were hiring a customer and partner-facing technical leader to own the tech side of Shopify ecosystem team. The Lead Solutions Architect, Shopify Ecosystem is the technical authority that sits at the intersection of Shopify merchants, agencies, strategic tech partners, and platform. In this role you will be responsible for building and evolving AssetLink Shopify app, representing ecosystem needs internally, and translating product-market fit into repeatable Shopify adoption.

This role is a highly hands-on IC with outsized influence (reporting to the GM, Shopify). As the motion proves out, youll help define what will become a small ecosystem engineering / architecture function, hiring and leading a team over time, or via managing outsourced development resources.

Why this role matters:
Shopify is one of the most important ecosystems for commerce growth. AssetLink, our Shopify app, is the product surface area that makes real to Shopify customers: an embedded, Shopify-native way to connect a media library to Shopify workflows (Admin, themes, and automation) and scale consistent, high-performing visual experiences across stores and channels.
Responsibilities:
Ship meaningful improvements to the AssetLink app, personally. Youll write production code, make architectural calls, and own end-to-end delivery for the highest-impact adoption blockers.
Make AssetLink feel Shopify-native: embedded Admin UX expectations, app architecture patterns, APIs/webhooks, permissions, and operational readiness that meet Plus / enterprise standards.
Work closely with our partners at Shopify and key ecosystem technology and service partners to align on roadmaps, integration patterns, and joint customer needs with a bias toward what can be shipped.
Run tight feedback loops with Plus merchants, enterprise brands, and agencies to turn real implementation pain into scoped work, shipped improvements, and repeatable enablement.
Own reliability and KTLO: observability, runbooks, safe rollout strategies, and supportability so the app scales without becoming an escalation magnet.

We are seeking an R&D Lead to lead the development for Agentic Commerce, a brand new product. The product focuses on owning the visual and semantic layer that AI agents rely on to understand, rank, and present products. We are a small, fast-moving, and highly independent team with full end-to-end ownership. The opportunity ahead is large: the front door of commerce is shifting from websites to AI agents, and merchants must adapt to be discovered, selected, and converted inside agent-driven experiences.
Responsibilities
Lead and be accountable for all development efforts, with a co-founder / CTO-level mindset
Co-lead the pod alongside the GM as a true counterpart
Build a deep understanding of how AI agents consume product data, media, and signals, and how merchants win selection and conversion in this new paradigm
Starting as a solo developer, you will be responsible for designing and shipping an AI-native product, growing a team when needed
Leverage platform to get to market quickly, building only what meaningfully advances learning and traction
Continuously adjust technical direction as agent behaviors, protocols, and market assumptions evolve

We create solutions used by both technical and non-technical users to manage, deliver, transform, and collaborate on media assets throughout their lifecycle, through both API and UI.
We take full ownership of what we build, from shaping solutions and making technical decisions to delivering production-ready capabilities with real customer impact.
We are a collaborative, proactive, and product-minded team, with members based in Israel and Poland, working primarily in English.
What Youll Do
Build impactful backend solutions - Design and develop scalable services and infrastructure that support core product capabilities, with a strong focus on reliability, simplicity, and business impact.

Own features end to end - Work closely with product managers and engineers to take ideas from design through implementation, deployment, and ongoing improvement.

Work across a modern backend stack - Develop and operate services using technologies such as AWS, Terraform, Go, and Ruby-based backend systems in a cloud-native environment.
Leverage AI-assisted development tools - Use AI coding tools to their full potential in day-to-day development, and help drive best practices around how the team adopts and works with these tools effectively.
Maintain high engineering standards - Write clean, scalable, maintainable code and contribute to thoughtful architectural decisions that align with broader platform goals.
Improve and evolve the system - Identify opportunities to enhance performance, developer experience, and product capabilities, including the adoption of new tools and approaches where they create value.

As a Senior Media Processing Backend Engineer, youll be part of Image team, working side by side with frontend and backend engineers. Youll contribute to feature development, code maintenance, and the operation of hundreds of production cloud servers.

The team is responsible for the core of main product. This includes the image transformation engines that process billions of requests per month (thousands of requests per second) and support all applications. Trusted by the worlds largest brands, our systems deliver high-fidelity media through flexible transformations with low bandwidth consumption and minimal latency.
Responsibilities
Develop and maintain main transformation services in Ruby on Rails.
Optimize system workload, time, and cost.
Develop custom transformations using building blocks from the research group, open source, or commercial solutions.
Contribute to the ongoing development of our Deep Learning platform, mainly in Python.
Provide 2nd-tier support for our code and participate in team and company-wide on-call rotations.
Address internal customer inquiries and complex questions.
Maintain and update image processing pipelines, including open source, commercial, and in-house. Mainly C++
Technologies
Youll develop in Ruby on Rails, C++, Python, Go, Typescript, and a bit of Rust, leveraging AWS, Kubernetes (EKS), and Lambda infrastructure.
You will work closely with both in-house and open-source processing tools, such as FFmpeg and ImageMagick.