AI Engineer Team Lead

לפני 23 שעות

AI Engineer Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are looking for a AI Engineer Team Lead
What will you do?

Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core - the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.

Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.

Drive experimental development- Run structured bets - LLM evaluation frameworks, new agent architectures, novel tool-use patterns - and bring the best ones to production.

Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.

Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.

Requirements:
Proven tech leader- 8+ years of backend engineering experience, including at least 2 years in a tech lead or team lead capacity. You've owned systems end-to-end, not just delivered tickets.

Proven ability to build teams- You've hired engineers you're proud of, mentored people to grow beyond where they thought they could, and created an environment where ownership is the default.

Deep experience with distributed systems- Concurrency, reliability, observability - you design for failure, not around it.

Experience building with AI-assisted tools- (e.g Cursor, Claude Code, etc.) You treat these as serious multipliers, not toys.

Strong communicator- You can hold a design review, align with product leadership, and explain a tricky architecture decision to an engineer in their first week - all with the same clarity.

Comfortable with open-ended problems- You enjoy tackling challenges that don't have a simple one-prompt AI answer - where the path forward requires judgment, not just execution.

This position is open to all candidates.

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02/07/2026

AI Engineer, Exposure Management 25674

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for an AI Engineer who is equal parts builder, enabler, and visionary.
This is a rare opportunity to join a small, elite team at the ground floor and have outsized impact on how AI is designed, built, and shipped across a globally recognized cybersecurity platform.
If you thrive at the intersection of cutting-edge AI research and real-world production systems and you want your fingerprints on something that matters - read on.
Why Join Us?
Greenfield opportunity - you're not joining a mature team with fixed patterns, you're helping define them.
Real impact at scale - your work will influence products used by thousands of organizations worldwide.
A team of great people - small, senior, and genuinely collaborative.
Freedom to innovate - we encourage bold ideas, fast experiments, and honest feedback.
our company's AI moment - AI is a company-wide strategic priority, and this group is at the center of it.
*we are an equal opportunity employer committed to diversity and inclusion.
Key Responsibilities
What You'll Do:
Build AI infrastructure - Design and develop the foundational tools, frameworks, and pipelines that power the group's AI capabilities, with a focus on LLMs and Generative AI.
Enable AI across the team - Act as the group's AI enablement engine: establish best practices, create internal tooling, and uplift teammates to work effectively with AI systems.
Own AI agents & agentic workflows - Design, implement, and iterate on autonomous agents and multi-step AI pipelines integrated with a variety of tools and environments.
Bring AI to production - Take models and capabilities from prototype to production-grade systems - reliable, scalable, and observable.
Shape the big picture - Contribute to the group's AI strategy, not just its execution. We want someone who asks "why" before diving into "how."
Stay ahead of the curve - Continuously research and evaluate emerging AI techniques, models, and tools - and bring what's relevant back to the team.
Collaborate and communicate - Write clearly. Think clearly. Work closely with researchers, engineers, and product stakeholders to align on goals and drive outcomes.

Requirements:
Must-Haves:
5+ years of experience in Software Development in production environments
Relevant academic background or Army experience.
Strong hands-on experience with LLMs and Generative AI- prompt engineering, fine-tuning, RAG pipelines, evaluation, and beyond.
Proven ability to build and ship production-level AI systems - not just notebooks, but real, deployed infrastructure.
Experience building or working with AI agents - tool use, agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, or similar).
Excellent written and verbal communication skills - you can explain complex AI concepts to both engineers and non-engineers.
Strong command-line proficiency and comfort working across diverse tools and environments.
A growth mindset - you read papers, break things, and love learning.
Nice to Have:
Experience in AI enablement - building internal tools, templates, frameworks, or training that help others work with AI more effectively.
Background in cybersecurity or working with security data.
Familiarity with cloud-based ML infrastructure (AWS, GCP, or Azure).
Experience with observability and evaluation frameworks for LLM-based systems.
Mindset & Culture Fit:
Big-picture thinker - you zoom out to understand what the team is building toward and zoom in to execute.
Team player with ambition - you lift others up while pushing yourself and the work forward.
Self-driven - in a small team, you own your domain end to end.
Comfortable with ambiguity- we're building something new; not everything is defined yet.

This position is open to all candidates.

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21/06/2026

AI System Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.
What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements

Requirements:
8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline - with a strong track record of designing and delivering production-grade integration platforms at scale
Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) - including workspace design, governance configuration, and operational management
Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level - in production, not just proof-of-concept
Hands-on experience designing or deploying AI/ML features in production enterprise environments - including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing
Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices
Experience designing and enforcing integration governance: access control models, audit logging, approval workflows, and token management
Familiarity with Model Context Protocol (MCP) or direct experience connecting AI models to enterprise systems in a production context
Proven ability to lead distributed technical teams and communicate architecture clearly to both executive sponsors and engineering teams - you can hold a technical standard without becoming a bottleneck
Experience with the requisite AI-related Audit Management frameworks (ISO42001, ISO27001, SOC 2, etc.)

This position is open to all candidates.

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4 ימים

AI Platform Engineering Team Lead - Sovereign AI Engineering

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required AI Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
The Dream Job:
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.

Requirements:
6+ years in backend software engineering, with 4+ years focused on production systems that integrate AI/ML models or LLMs.
2+ years leading an engineering team - hiring, mentoring, conducting design reviews, and shipping alongside your team.
Engineering craft - Strong Python, Go, or Java, system architecture, API design, testing, and secure coding practices.
Agentic systems & LLM integration - Deep understanding of agent orchestration, tool-use architectures, LLM integration patterns, context engineering, and frameworks like LangGraph or similar, or custom-built equivalents
Backend & platform engineering - Experience building and operating production APIs, services, and platform infrastructure at scale; comfortable working with relational databases, message queues, and event-driven architectures
RAG & retrieval - Experience with production RAG pipelines, vector databases, embedding systems, and retrieval quality
Evaluation & observability - Experience building LLM and agent eval infrastructure, monitoring AI quality, and observability for non-deterministic systems
Nice to Have:
Platform & infra - Kubernetes, AWS, Terraform or similar IaC, CI/CD, service architecture, incident management
Experience with MCP or similar tool-use protocols for agent-to-service communication.

This position is open to all candidates.

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3 ימים

Engineering Group Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for an Engineering Group Manager to lead this group. Reporting to the VP of R&D, you'll own the engineering execution, architecture, and technical direction of the products that define what Optibus is. You'll lead a group of full-stack team leads and engineers building large-scale, complex SaaS products on a cloud-native platform, working closely with our Algorithms group.

This is not a 2024 group manager role. We are not hiring someone whose day is meetings, status reports, and approvals. We are hiring a hands-on technical leader who codes, designs systems, drives architecture, leverages AI as a force multiplier, and is measured by impact rather than headcount.

What You'll Own

R&D leadership partnership. You're a key member of the R&D leadership team, actively shaping departmental strategy and driving high-level decisions across the organization - not just running your own group.
The core of the product. Engineering ownership of Planning, Scheduling, and Rostering - the products at the center of the platform, used by transit agencies and operators worldwide.
Architecture and technical direction. You set the technical bar. You participate in design, review architecture, write PRDs, and dive into code reviews when it matters. The hardest problems land on your desk.
A group of team leads and engineers. You'll mentor team leads, grow engineers, and build a small, sharp, high-leverage organization rather than a large one.
Delivery, quality, and velocity. You drive the engineering processes that ship a high-quality product on production-grade SaaS - fast, with low defect rates, and with continuous improvement.
AI-native engineering. You leverage AI agents and automation to multiply the output of your group - both in how the team builds software and in what we build into the product.
Cross-functional partnership. Tight collaboration with Product, Design, Algorithms, and Customer-facing teams to translate complex transit-domain needs into shipping software.

Requirements:
5+ years managing software engineering teams, including managing team leads (i.e. managing managers).
12+ years of hands-on production experience building SaaS products, with deep proficiency in modern stacks such as Python, Node.js, React, or equivalent.
Strong, current technical depth: you can lead architecture discussions, review designs, and contribute to code-level decisions for complex distributed systems.
Demonstrated experience designing and operating large-scale production SaaS systems with non-trivial complexity - deep domain logic, large data, or heavy product surface area.
Hands-on experience leading code modernization in mature, large codebases - paying down technical debt while continuing to ship, and driving incremental architecture evolution over rewrites.
Hands-on fluency with AI development tools and agentic workflows - and a clear point of view on how to use them to multiply engineering output.
Strong people leader: you have built, grown, and retained engineering organizations, and you have a track record of developing team leads into stronger leaders.
Pragmatic delivery and quality mindset; comfortable making the trade-off calls.
BSc in Computer Science, Software Engineering, or a closely related field - or equivalent experience shipping production-grade products at this level.
Fluent English and Hebrew.
Tel Aviv area, hybrid.

This position is open to all candidates.

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21/06/2026

Principal AI Engineer (Prisma Browser - Agents Platform)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are building an agentic development lifecycle, an infrastructure of autonomous agents that work alongside our engineers to accelerate and improve how we build software. Our goal is to ship faster, with higher quality, and to continuously tighten the feedback loop between what the agents produce and what engineering actually needs. Over time, this system should compound: every improvement makes the next one easier to reach.
we are an enterprise secure browser used by some of the largest organizations in the world. It's a complex, multidisciplinary product spanning browser core, frontend, extensions, and backend services, and it runs at scale for customers who need it to always work. The bar for what we ship is high. That means whatever agentic infrastructure we build has to meet the same standard. We're not here to vibe code our way to production.
We're looking for an AI Engineer with a product builder's mindset. You have real experience with AI and agentic workflows, and you know how to take a complex project from idea to adoption, technically and organizationally. That means working across teams, aligning with security, infrastructure, and other engineering groups, and understanding that building the system is only half the job. Getting people to trust it is the other half.
We aren't looking for a conventional senior developer; we need someone whose mindset is adapted to technical challenges that didn't even exist 18 months ago.
Qualifications
Your Impact
Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code.
Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent".
Lead complex initiatives in Context Engineering and Prompt Engineering.
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development.
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them.
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools.
View prompt engineering as a core engineering discipline-where rewriting agent behavior is a versioned, reviewed, and tested code change.
Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them.

Requirements:
At least 8+ years of experience in software development, architecture, or owning operational systems in production.
Computer Science B.Sc. or equivalent education or equivalent military experience required.
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise.
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it.
Positive can-do mindset, able to work independently and within a team.
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points.
You know how to build the right context for a task, including memory systems, session storage, and vector databases.
You understand where LLMs fail and how to design around those failure points.
You've used traces or observability tooling to diagnose and improve agent behavior.
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions.
Experience in the cybersecurity space - an advantage.

This position is open to all candidates.

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10/06/2026

Sr. Software Development Engineer - Shopping Personalization AI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Senior Software Development Engineer who leads through technical depth and sound judgment. Someone who owns team-level architecture, provides system-wide design guidance, and brings perspective on both current and future technology choices. You take on customer problems where the technological strategy is not yet defined, and you drive productive discussions to align teams on the best path forward. You dont just deliver high-quality software yourself - you set the standard that others follow. You actively mentor multiple engineers, drive adoption of engineering best practices, and ensure your team has strong operational foundations. You make the team permanently stronger, not dependent on your presence. When the right solution isnt technical - when its a process change, a culture shift, or a staffing decision - you recognize that and act accordingly.

Key job responsibilities
- Own team architecture of personalized recommendation system operating in our scale.
- Lead the design and delivery of cross-teams projects end-to-end, with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define technical roadmap and experiences based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and drive measurement strategies including analytics events and experiment configurations to track business and technical metrics.
- Create clarity from ambiguity and make sound technical decisions in a problem space where established patterns don't apply.
- Drive adoption of engineering best practices through exemplary personal coding practices.
- Proactively simplify existing systems and resolve endemic, root-cause problems.

Requirements:
Basic Qualifications
- Bachelors degree in Computer Science, Engineering, Mathematics, or a related field
- 10+ years of non-internship professional software development experience.
- 3+ years of experience leading the design and architecture of large-scale distributed systems.
- Experience owning and driving technical strategy and architecture decisions for a team or system.
- Experience leading multi-engineer projects from design through delivery, including decomposing complex problems and coordinating across teams.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, deployment, and operations.
- Experience mentoring and coaching other software engineers.

Preferred Qualifications
- Masters degree or equivalent.
- Experience with experimentation platforms (A/B testing), analytics instrumentation, and metrics-driven iteration at large scale.
- Experience with AI/ML system integration, model serving infrastructure, or generative AI applications in production.
- Experience with end-to-end SDLC ownership including establishing operational excellence practices: monitoring/metrics, alarming, runbooks, incident response, and COE/retrospective processes.
- Track record of simplifying complex systems, resolving systemic technical debt, and improving engineering processes.
- Experience influencing technical decisions across organizational boundaries without direct authority.

This position is open to all candidates.

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28/06/2026

Principal AI Engineer (Prisma Browser - Agents Platform)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Prisma Browser group is building an agentic development lifecycle, an infrastructure of autonomous agents that work alongside our engineers to accelerate and improve how we build software. Our goal is to ship faster, with higher quality, and to continuously tighten the feedback loop between what the agents produce and what engineering actually needs. Over time, this system should compound: every improvement makes the next one easier to reach.
Prisma Browser is an enterprise secure browser used by some of the largest organizations in the world. It's a complex, multidisciplinary product spanning browser core, frontend, extensions, and backend services, and it runs at scale for customers who need it to always work. The bar for what we ship is high. That means whatever agentic infrastructure we build has to meet the same standard. We're not here to vibe code our way to production.
We're looking for an AI Engineer with a product builder's mindset. You have real experience with AI and agentic workflows, and you know how to take a complex project from idea to adoption, technically and organizationally. That means working across teams, aligning with security, infrastructure, and other engineering groups, and understanding that building the system is only half the job. Getting people to trust it is the other half.
We aren't looking for a conventional senior developer; we need someone whose mindset is adapted to technical challenges that didn't even exist 18 months ago.

Requirements:
Your Impact
Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code.
Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent".
Lead complex initiatives in Context Engineering and Prompt Engineering.
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development.
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them.
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools.
View prompt engineering as a core engineering discipline-where rewriting agent behavior is a versioned, reviewed, and tested code change.
Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them.
Your Experience
At least 8+ years of experience in software development, architecture, or owning operational systems in production.
Computer Science B.Sc. or equivalent education or equivalent military experience required.
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise.
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it.
Positive can-do mindset, able to work independently and within a team.
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points.
You know how to build the right context for a task, including memory systems, session storage, and vector databases.
You understand where LLMs fail and how to design around those failure points.
You've used traces or observability tooling to diagnose and improve agent behavior.
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions.
Experience in the cybersecurity space - an advantage.

This position is open to all candidates.

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8713873

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2 ימים

Principal Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Principal Architect who combines deep technical mastery with product sensibility, business understanding, and organizational insight. This is a senior individual-contributor role with broad influence and high visibility across engineering, product, and leadership.
You will shape the architecture of our platform across multiple domains, drive strategic technical decisions, and partner with cross-functional leaders to align architectural direction with product, business, and organizational goals.
You are not just a technologist - you are a systems thinker who understands how technology enables outcomes, how teams and organizations scale, and how product strategy and technical strategy intersect.
What Youll Do
Architectural Ownership & Thought Leadership
Lead architecture across core domains, such as:
Distributed systems at massive scale
Streaming and real-time data pipelines
Query engines, analytics, and data processing
Storage architectures and object-store-based systems
SaaS control planes and high-scale multi-tenancy
Anticipate systemic needs, identify opportunities, and drive architectural initiatives end-to-end - from design through alignment and delivery
Act as a trusted advisor and thought partner for senior engineering, product, and executive stakeholders
Cross-Functional Impact
Translate product and business strategy into architectural trade-offs and decisions
Help define the how behind ambitious organizational outcomes (e.g., performance, reliability, cost efficiency, developer velocity at petabyte-scale)
Mentor and influence engineers across teams to elevate architectural quality and execution
Organizational Intelligence in Practice
Embody an integrative perspective: understand technology constraints, product priorities, customer problems, and organizational dynamics
Help shape how the company thinks about architecture as a strategic asset - not just a technical discipline.

Requirements:
Depth and Breadth
Proven long-term experience shaping large-scale data systems in production and defining technical direction
Strong background with hyperscale or high-growth data platforms (analytics engines, databases, streaming systems, etc.)
Systems AND Strategy
Deep understanding of distributed systems, failure modes, storage and query execution, and complex streaming and batch processing
An ability to navigate technical complexity while grounding decisions in business outcomes and product value
Influence and Leadership
Track record influencing across engineering, product, and leadership, using trust and strong people skills
Strong communicator who can advocate for robust architectural direction and build alignment
Organizational Insight
Evidence of thinking beyond code - you understand organizational structures, collaboration patterns, and how teams deliver at scale
Strong Advantage
Previous R&D leadership experience
Active involvement in open-source projects as a contributor or maintainer
Why This Role Matters
Youll work on systems that operate at multi-petabyte daily scale, where architecture truly matters.
Your decisions will shape not just products, but the foundation of a new category.
Youll partner with engineers and leaders who value deep technical excellence and strategic thinking.
Youll help define how our company - and ultimately our customers - make sense of and act on organizational data.
Cultural Fit
Were seeking candidates who are hungry, humble, and smart. our company fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, wed love to hear from you.

This position is open to all candidates.

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8729740

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07/06/2026

Senior AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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.

Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.

This position is open to all candidates.

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5 ימים

AI Acceleration Group Manager 25922

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

R&D is transforming. Not incrementally - fundamentally. AI is reshaping how software gets built, reviewed, tested, and shipped. we are accelerating that shift from the inside, and this role sits at the center of it.
The AI Acceleration group exists to make our company's SASE R&D organization dramatically more productive through AI. We build the platforms, tooling, and enablement programs that turn individual engineers into force multipliers. If you believe the future of software development is agentic, and you want to be the one who makes that real at scale for a world-class security organization - this is the role.
We operate with the urgency of a startup and the resources of a global security leader.
You will lead multiple teams - managing team leads and tech leads - driving adoption across 300+ R&D engineers and operating at the intersection of engineering leadership, platform architecture, and organizational change.
Strategic Objectives:
Be the technical and strategic AI leader for SASE R&D - the authoritative voice on how AI transforms software development within the organization, bringing deep hands-on expertise, shaping direction, setting standards, and influencing leadership decisions.
Own the AI tooling portfolio - evaluate, select, and govern the tools and platforms developers use, from AI-assisted code review to coding agents and agentic automation.
Drive measurable improvement in R&D productivity - with clear goals, transparent tracking, and regular reporting to R&D leadership.
Enable developers at scale through structured learning programs, onboarding paths, and community-based enablement - making AI adoption a default, not an exception.
Key Responsibilities
Lead the AI Acceleration Group
Manage and grow multiple teams - working through team leads and tech leads - responsible for building and running AI tooling and enablement programs across SASE R&D.
Define the group's roadmap, prioritize quarterly goals, and translate OKRs into executable engineering plans.
Operate as both a technical leader and a people manager - you stay close to the work and invest in your team's growth.
Drive the Agentic and AI Journey in the SASE Product
Partner with SASE product and engineering leadership to identify and drive high-impact opportunities to embed AI and agentic capabilities into the product.
Lead proof-of-concept initiatives, shape the technical approach, and guide teams from early exploration through to production delivery.
Serve as the bridge between the fast-moving AI tooling ecosystem and the practical realities of building a large-scale security product.
Own the AI Engineering Foundation
Ensure SASE R&D has the platforms, tooling infrastructure, and architectural standards needed to build and operate AI-native workflows at scale.
Define standards for agentic integrations, tool connectivity, and developer-facing surfaces - so teams can move fast without reinventing the wheel.
Ensure all platforms operate within SASE R&D's security and compliance

דרישות:
Experience
+8 years in software engineering.
+3 years in engineering leadership roles.
Demonstrated experience leading cross-functional initiatives with measurable outcomes.
Experience navigating both fast-moving and large-scale engineering environments - you know how to drive change with urgency and how to make it stick in a complex organization.
Proven hands-on involvement with AI tooling, agentic systems, or LLM-based products over the past two years - not as an observer, but as a builder or decision-maker.
BSc/MSc in Computer Science, Software Engineering, or equivalent.
Technical Depth
Deep, hands-on expertise with AI coding tools and agent frameworks - you've built with them, evaluated them at organizational scale, and have strong, informed opinions on where the space is heading.
Mastery of LLM integration patterns, agentic workflows, MCP (Model Context Protocol), and coding agent architectures - this is your domain, not a learning obje המשרה מיועדת לנשים ולגברים כאחד.

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8723201

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