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-6+ years of experience in machine learning engineering or applied AI, with a preference for an MSc or PhD in a relevant field.
Hands-on experience building and deploying large-scale production systems with machine learning components.
Practical experience with modern AI architectures, including LLMs, RAG pipelines, vector search, and prompt orchestration.
Strong backend engineering experience and familiarity with building production services.
Experience implementing and productionizing AI frameworks with automated testing, monitoring, and data quality controls.
Strong architectural thinking and algorithmic intuition for model selection, evaluation, and optimization.
Ability to work independently in fast-moving environments and take ownership of complex technical challenges.

If you're ready for the next big step in your software development career, read on.
You'll work across the frontend and backend systems that form the backbone of the platform: responsive, scalable interfaces on one side, and reliable backend services and APIs on the other. Our stack is Python, React, TypeScript, FastAPI, and several more database types running on Kubernetes, with an emphasis on performant, secure, and reliable systems.
You'll work directly with product, design, and the rest of engineering, on a team small enough that you'll shape the architecture and the roadmap, not just execute against them.
Responsibilities:
Develop and maintain the core architecture of our AI agent platform, across both frontend and backend
Design and deploy scalable APIs, microservices, and backend systems in Python (FastAPI, Flask, or Django)
Build high-quality, responsive UIs in React and TypeScript: reusable components, optimized for performance and accessibility
Build with coding agents as a primary mode of work, and help define how our team does it well, including tooling, review standards, and the guardrails that keep quality high
Own features end to end, from architecture through production deployment. Yes, this means brand new pillars in the platform
Maintain high code quality through testing, code review, and clear standards, which matters even more given how much code we generate

As an AI Expert at our company, youll take full ownership of AI-powered product capabilities - from concept to production. Youll work closely with Product, Engineering, and Security domain experts to build practical, reliable AI systems that improve how teams operate and secure cloud environments. This is an applied role: we care about shipping, adoption, and measurable outcomes. Youll engage with users, test MVPs in production, iterate quickly based on feedback, and make sure what you build holds up in the real world. And yes youll also jump in as a Support Hero when needed, helping customers succeed and learning directly from how they work.
Key Responsibilities
Build and ship AI features that improve cloud security operations (e.g., control recommendations, drift detection explanations, guided remediation, policy generation, investigations, workflow automation).
Design and implement AI agents tuned for cloud-security tasks, including the surrounding framework (tools, permissions, orchestration, guardrails, and automation).
Apply deep understanding of cloud security domains (IAM, network controls, logging/telemetry, posture management, governance, misconfiguration, threat scenarios) to guide product decisions and ensure the AI behaves safely and correctly.
Integrate with multi-cloud APIs and security controls (AWS/Azure/GCP/OCI), building end-to-end flows from user intent → actionable outcome. Create and maintain evaluation methods for model quality (accuracy, coverage, hallucination rates, latency, cost, and user satisfaction) and build tooling to continuously measure performance in production.
Build data and feedback loops to keep systems relevant over time (user corrections, outcome tracking, regression testing, prompt/model iteration).
Stay current with practical advancements in LLMs/agents and engineering patterns, and adopt whats useful (not hype) into production.

As a Software Engineer at our company, youll truly work across the full stack. Youll design and deliver front-end experiences (we dont rely on pre-set designs), and depending on your team, youll also build high-scale, high-availability services in Go and manage infrastructure setup.
Key Responsibilities
As a Senior Software Engineer, youll take full ownership of products and features - from concept to delivery.
Youll engage with users, align with our strategic direction, and identify what you and the team should build next.
Youll have the opportunity to test MVPs directly in production with real users, iterate quickly based on feedback, and ensure the long-term success of your work.
And yes -youll also jump in as a Support Hero, helping customers and making sure they enjoy an exceptional experience.

We are looking for a Product Hybrid Engineer - a true Individual Builder who operates at the intersection of engineering, product, and design. You are not just here to implement tickets; you are here to challenge the roadmap, talk directly to customers, and drive innovation from ideation to production.

In this role, you will run fast on multiple high-impact projects, using AI to amplify your impact and speed. You will have the autonomy to make architectural and product decisions, moving with the speed and spirit of an entrepreneur within the company.

What youll do
Build End-to-End: You will not just build products; you will build the systems that power them. You will take concepts from a rough idea to a deployed, scalable production system autonomously.
Leverage AI to Move Fast: You will utilize the newest AI tools to accelerate your workflow, allowing you to focus on high-level architecture, complex problem-solving, and customer value rather than boilerplate coding.
Drive Product Innovation: You will work directly with customers to understand their pain points. You are expected to challenge Product Managers, Designers and Leadership, offering alternative solutions and driving ideation based on your technical and product insights.
Own the Architecture: While frameworks change, architecture persists. You will design robust systems that can scale, ensuring we arent just shipping quick and dirty prototypes but enterprise-grade software.
Operate with Autonomy: You will manage your own priorities and projects, navigating ambiguity without needing constant direction. You focus on outcomes, not output.

In this role you will take place in leading the architecture, development, andend-to-end delivery of our products software systems and applications -working closely with the founders, the product team and other R&D teams.

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Full-Cycle Development: Design, develop, integrate, test and deploy major new parts of our full-stack app (backend and frontend).
Be our team's technical focal point - driving best practices, guiding others, and leading by example.

We're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees LLMs and Agentic AI as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with LLMs, AI Agents and MCPs. You understand how agentic frameworks (LangGraph, CrewAI, AutoGen, and similar) orchestrate multi-step tool use-and where trust boundaries break down. You've assessed or secured AI-powered coding agents (Claude Code, GitHub Copilot, Cursor) and understand the unique risks of AI with filesystem, terminal, and API access in Developer environments. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
What Youll Actually Be Doing:
* Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
* Assess and define secure usage patterns and data governance controls for agentic frameworks and coding agents: permission scoping, tool-call authorization, leastprivileged retrieval, session isolation, and MCP server governance.
* Threat model AI systems (apps, agents, MCPs, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/context poisoning/jailbreaks/ data exfiltration) and build mitigations.
* Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive- data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
* Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
* Evaluate thirdparty AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
* Partner across Security, data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
* Lead/participate in AI redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.
 
Why Youll Love Working Here:
* Flexible hybrid.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are seeking a Scale TEST team leader to lead our newly Scale Testing team, responsible for validating the iBox under maximum real-world scale. combining features, protocols, capacity, and traffic simultaneously to expose issues that only emerge at the limits of the system. This role sits at the intersection of functional testing, performance testing, and customer-representative system design, ensuring the iBox holds up not just to isolated stress, but to the full complexity of production-scale deployments. The role is expected to be approximately 75% hands-on, directly involved in TEST design, execution, and investigation alongside the team.
Responsibilities:

* Form and Lead a team of scale TEST engineers, hiring and guiding them through complex, large-scale TEST design, execution, and root-cause analysis
* Design and execute tests that combine multiple features, protocols, and workloads concurrently at maximum scale (pools, volumes, snapshots, replication, etc.)
* Build and maintain customer-representative testbeds that mirror real-world production configurations at scale
* Drive high-volume, sustained traffic scenarios alongside feature and capacity scaling to surface interaction effects and edge-case failures
* Investigate and analyze complex, multi-variable system issues that arise only under combined scale conditions
* Participate in technical reviews - requirements, design, TEST design, and field reports - bringing a scale/ system -limits perspective
* Set up and maintain long-running, large-footprint hardware and software TEST environments
* Collaborate closely with Performance, system TEST, Interoperability, R&D, Product Management, and Support to ensure scale considerations are built into product design early
* Define and evolve the team's scale testing methodology, tooling, and metrics

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group.

Responsibilities:

* Lead a team of 2-8 developers
* C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment.
* Technical-related aspects of Infinidat’s core component.
* Filesystem IO flow performance improvements.
* High level & detailed design of new features.
* Legacy code maintenance and refactoring.

As a Senior Frontend Engineer , you will play a key role in shaping the user experience of a product that truly changes lives. Youll work on a user-facing product used daily by people who are Deaf or hard of hearing, turning complex communication challenges into intuitive, accessible, and high-performance experiences.

This role is ideal for an experienced frontend engineer with strong product understanding, who cares deeply about users, performance, and design. This role is not just about coding, but about building frontend features that have real impact for users.

On a day to day, you will:

Design, build, and maintain rich, accessible frontend experiences across web and mobile products.
Own features end-to-end: from understanding user needs and product requirements to development, testing, and production.
Collaborate closely with Product, Design, and Backend teams to define flows, UX, and technical solutions.
Translate high-level product requirements into scalable, maintainable frontend architecture.
Solve complex UI and performance challenges, including real-time and async interactions.
Continuously improve code quality, frontend standards, and developer experience.
Take part in code reviews, technical discussions, and architectural decisions.
Bring product-oriented thinking and propose improvements that have real user impact.

As a Senior Software Engineer , you will play a pivotal role in shaping experiences that truly make communication accessible for people who are Deaf or hard of hearing. You will work across the stack - designing, building, and maintaining features that turn complex communication challenges into intuitive, high-performance solutions. This role is ideal for an experienced engineer with strong product sense, who cares deeply about users, accessibility, performance, and scalable design.

On a day-to-day, you will:

Own features and systems end-to-end: from understanding the user problem, through architecture, development, and operating it in production.
Design, build, and operate high-scale backend infrastructure serving users with real-time, low-latency requirements.
Collaborate directly with product and engineering to shape what we build, not just how we build it.
Dig into complex production issues - performance, reliability, data processing - and solve them under real constraints.
Continuously improve system architecture, observability, and development practices.
Leverage AI as part of the daily engineering work to accelerate development.