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05/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.

What you'll be doing:
As a Senior Backend Engineer in the AI Engineering team, you will:
Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.
Requirements:
What we're looking for:
6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin).
Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines.
Proven experience in building and scaling backend APIs, microservices, and background jobs.
Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization.
Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ).
Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies.

Advantages:
Strong proficiency in Python and/or Node.js/NestJS.
Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR).
Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM.
Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs.
Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry).
This position is open to all candidates.
 
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02/07/2026
Location: Petah Tikva
Job Type: Full Time
A senior individual-contributor role reporting to the VP of MIS (CFO Office).




Key Responsibilities
The role spans two connected layers, and youll move fluidly between them:

The platform. Build and maintain the shared integration and automation infrastructure layer that connects our internal systems and exposes them to AI safely - reusable connectors, reliability, security, and observability.

The solutions. Build internal tools, automations, and AI agents on top of it - integrations across enterprise SaaS (Salesforce, NetSuite, Slack, Okta), and LLM-powered workflows for things like triage, provisioning, document processing, and reporting.

The right tool for the job. Low-code/iPaaS, custom code, or a hybrid - whatever delivers value fastest and stays maintainable, with responsible-AI practices throughout.

How Youll Work
Deliver MVP-first and iterate on real usage; favor pragmatic, simplicity-first solutions over over-engineering

Own what you build end to end - design through production support - with documentation others can maintain

Communicate trade-offs clearly, and quantify the value you deliver

Scope
In scope: the internal AI-integration and automation platform and everything built on it; business infrastructure for teams across Finance, HR, GTM, Security, and IT; integration reliability and observability.

Out of scope: physical IT operations (device provisioning, inventory, AV) and endpoint/office IT support.
Requirements:
7+ years in integrations, business systems / MIS, or systems engineering within SaaS environments, with senior-level ownership

Hands-on experience integrating systems you dont control - their APIs (REST, GraphQL, webhooks), auth flows, rate limits, and imperfect data

Proficiency in Python and/or JavaScript (Node.js/TypeScript)

Experience with low-code/iPaaS platforms (Workato, Zapier, Make, Tray) and judgment about when to use them vs. custom code

Experience with AI-to-system integration standards (e.g., MCP)

Familiarity with enterprise systems (Okta, Salesforce, NetSuite, Google Workspace) and with IAM/OAuth, API security, and compliance (SOC 2, ISO, GDPR)
This position is open to all candidates.
 
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02/07/2026
Location: Petah Tikva
Job Type: Full Time
We're looking for a Senior AI Solutions Builder to join our Product team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization.

You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work.

You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth.

You Will
Design and ship AI-powered copilots, agents, and decision-support tools for the Product team, starting with Pricing

Build data pipelines and analytical models for pricing intelligence

Develop autonomous agents that automate recurring Product tasks

Automate manual workflows across product tools so the right action happens when a signal fires

Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone

Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building

Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale

Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes
Requirements:
Proven, hands-on experience building and shipping AI-powered tools, agents, or pipelines in production environments

Builder / vibe coder mindset - uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering ticket

Strong analytical foundation: pricing or business scenario modeling, experimentation design, usage data analysis

Proficiency in Python and SQL; comfortable with LLM APIs, prompt engineering, and agentic frameworks

Experience working cross-functionally with Product, Finance, and go-to-market teams in a B2B SaaS environment

Ability to connect systems independently: APIs, webhooks, data pipelines

Strong communication and collaboration skills across diverse teams

Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment

Comfortable learning and applying new technologies, tools, and methodologies

5+ years in AI/ML engineering, product analytics, or a closely related builder role
This position is open to all candidates.
 
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02/07/2026
Location: Petah Tikva
Job Type: Full Time
We're a small, fast, high-ownership team, and we're looking for a Senior Backend Engineer to make work for agents - both by building new agent-facing infrastructure and by reshaping our existing platform for a world where the caller is a machine. Some of this is greenfield. Much of it is taking APIs, auth, and SDKs and making them ergonomic, legible, and reliable for agents.

Its a problem the whole industry is still figuring out. Youll help define what great API design looks like when the caller is not a human developer, but an agent acting on their behalf.

What you'll do
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI - let coding agents and LLMs discover and invoke reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path - make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable - partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend - Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate - prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.
Requirements:
10+ years building and operating production APIs, SDKs and Backend systems and at scale.

Strong in Node.js/TypeScript, and comfortable working in (or quickly ramping on) Ruby/Rails and/or Go.

Deep API and protocol design fundamentals - authentication (OAuth, API keys, scoped permissions), versioning, idempotency, rate limiting, clean contracts.

Genuine curiosity about agents and LLMs and how they're reshaping how software gets built and run.

Solid distributed-systems and cloud instincts (AWS or equivalent).

A bias for ownership in ambiguity - you scope the problem, not just the solution, and you ship.

Strong written communication - it matters more than usual when your consumers are machines and your teammates are distributed.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a GTM AI Product Manager.
The GTM AI Product Manager (sitting within RevOps - GTM) translates executive GTM strategy into operational AI solutions, ensuring high-impact initiatives, spanning Marketing, Sales, Partners, and Customer Growth, are successfully defined, scoped, structured, incubated, and brought to life.
Acting as the architect of these initiatives, you translate GTM leadership priorities and target business KPIs into structured execution, connecting business requirements with tech delivery, serving as a strategic bridge and an agile incubator, facilitating rapid prototyping and validation of new workflows.
Requirements:
GTM & Business Methodology: 2+ years of experience within high-growth GTM teams or providing strategic services to revenue functions (Marketing, Sales, Customer Growth). You possess a deep understanding of business methodologies, sales cycles, and the modern revenue engine..
Agentic Architecture experience - Proven hands-on experience designing and building within AI ecosystems. You are comfortable architecting Multi-Agent Systems (MAS) and designing autonomous agentic layers.
Rapid Prototyping: Ability to take a concept from a high-level flow to a functional V1 prototype. You should be skilled in creating functional mockups and live demos through vibe coding tools.
Orchestration & Tooling: Experience with AI orchestration tools and development frameworks.
CRM & Data Layers: Power-user knowledge of HubSpot or Salesforce as an application layer, and a high-level understanding of data warehouse structures (Snowflake).
Project Management: Proven ability to translate abstract leadership priorities into structured project scopes, requirements, and executable plans. You excel at managing complex, cross-functional implementations and technical delivery timelines.
Stakeholder Management: Exceptional communication skills with the ability to navigate a global organization and align executive vision with tech feasibility.
Advantage for hands-on experience across the following AI ecosystem and tool types (or similar):
AWS Bedrock, Relevance AI, AutoGen, CrewAI, Google Antigravity
Workato, n8n, Zapier, Make, Google Opal
OpenAI (Assistants API / Custom GPTs), Claude (Cowork), OpenClaw, Google AI Studio, Claude (Code), Hermes agents, Cursor
Bolt, Base44, Lovable, Figma Make
This position is open to all candidates.
 
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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for engineers who are excited about building real-world AI systems in production, not just experimenting with models, but designing scalable applications, integrating intelligent agents into complex products, and solving challenging engineering problems with direct customer impact.
Key Responsibilities
Design, develop, and maintain AI-powered applications, agents, and backend systems
Build intelligent workflows and agentic systems integrated into our company networking and security products
Develop scalable APIs, services, and infrastructure supporting GenAI applications in production
Integrate LLMs, RAG pipelines, vector databases, and orchestration frameworks into robust production systems
Collaborate closely with AI researchers, software engineers, infrastructure teams, and product groups to deliver end-to-end AI solutions
Improve scalability, reliability, observability, and operational excellence of AI systems
Explore and adopt modern AI engineering methodologies, frameworks, and tooling
Participate in architectural and technical decisions shaping the future of AI across our company products.
Requirements:
5+ years of experience as a Software Engineer
1-2 years of hands-on experience building GenAI or LLM-based applications
Strong proficiency in Python and modern backend software engineering best practices
Experience building scalable distributed systems and cloud-native applications
Hands-on experience with GenAI technologies such as LangChain, LangGraph, MCP, RAG systems, vector databases, and agent frameworks
Experience integrating LLMs and AI services into production environments
Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP
Strong understanding of APIs, software architecture, and system design
Familiarity with networking and cybersecurity domains - strong advantage
Strong ownership, curiosity, and ability to work in fast-moving environments
BSc in Computer Science or related field - advantage.
This position is open to all candidates.
 
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02/07/2026
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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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced and strategic Product Manager to lead a core domain within our companys Cloud Firewall portfolio. This role is central to shaping how enterprises secure cloud environments at scale across hybrid and multi-cloud infrastructures.
our companys cloud security solutions protect some of the worlds largest organizations, and our Cloud Firewall capabilities are a critical part of helping customers enforce consistent, scalable, and intelligent network security in dynamic cloud environments.
As the Product Manager for a core Cloud Firewall capability, you will own the product vision, strategy, and execution end to end - from deeply understanding customer needs, market trends, and cloud platform evolution, through defining roadmap priorities and driving delivery, to ensuring strong adoption and long-term customer value.
You will work closely with engineering, architecture, UX, research, sales, marketing, and customer-facing teams in a highly cross-functional environment. This role requires a strong product leader with proven success in Agile product development, the ability to lead complex cross-functional programs, and a demonstrated record of influencing strategy and execution across engineering, business, and customer-facing teams.
This is an opportunity to influence a strategic cloud security domain and build high-impact products that solve real customer problems in one of the most important areas of cybersecurity.
Key Responsibilities
Define and own the product strategy, vision, and roadmap for our companys Cloud Firewall capabilities, aligned with company objectives, customer needs, and market opportunities.
Lead product discovery by analyzing customer pain points, industry trends, competitor offerings, and emerging cloud security requirements across AWS, Azure, GCP, and hybrid environments.
Work closely with engineering leadership and development teams to translate strategy into execution through clear priorities, well-defined requirements, and pragmatic tradeoff decisions.
Drive product development in a proven Agile environment, including backlog management, feature prioritization, user story definition, sprint planning support, and ongoing collaboration with R&D throughout the delivery lifecycle.
Demonstrate strong leadership across cross-functional teams, aligning engineering, UX, sales, support, and marketing around a shared product direction and successful business outcomes.
Partner with UX/UI teams to deliver intuitive, scalable, and efficient user experiences for cloud security administrators and enterprise operators.
Own the product lifecycle from concept through launch and iteration, including requirements definition, validation, rollout planning, and success measurement.
Collaborate with product marketing and field teams to define product positioning, messaging, and go-to-market plans for new capabilities and releases.
Engage directly with customers, partners, sales engineers, and support teams to gather feedback, validate priorities, and identify new product and business opportunities.
Monitor product adoption, customer satisfaction, usage trends, and competitive positioning, using data to drive continuous improvement and roadmap refinement.
Stay current with cloud platform evolution, cloud-native networking, and cybersecurity market trends to ensure the product remains innovative and differentiated.
Serve as a product leader and domain expert internally, helping drive alignment, clarity, and execution excellence across strategic initiatives.
דרישות:
Bachelors degree in Computer Science, Engineering, Business, or a related field. MBA or advanced degree is an advantage.
5+ years of product management experience in cybersecurity, cloud security, network security, or closely related domains.
Strong technical understanding of cloud networking, firewall technologies, network security controls, and cloud security architectures in AWS, Azure, and GCP environments.#ENGLI המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Backend AI Engineer to own and build our companys agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.
Requirements:
What Will Make You Stand Out?
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
Strong background as a Backend Engineer - at least 5 years of experience
2-3 years of hands-on experience working with AI / LLM-based systems running in production
Proficiency in Python and/or JavaScript, and experience building backend services, APIs, and scalable distributed systems
Practical experience designing and operating agentic AI workflows, including orchestration of multi-step flows involving LLMs, tools, and decision logic
Strong understanding of how LLM-based systems behave in real-world, high-scale environments, including non-deterministic behavior and failure modes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications? Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Key Responsibilities
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.
Requirements:
Required Qualifications
Minimum of 5+ years of professional experience in a blend of technical and analytical roles (e.g., Automated QA, Support Enablement, Data Analysis,AI Research. Prompt Engineering, MLOps), with a proven track record operating at the critical intersection of customer operations, data management, and AI/ML systems
AI/ML/LLM Foundation: Possesses a high-level understanding of AI tools, LLMs, machine learning, and applicative AI principles.
Python Proficiency: Proficient in Python for practical applications, including scripting, data processing, and building automation solutions.
Customer Domain Mastery: Demonstrated experience in customer-facing roles with a strong operational understanding of the Customer Support domain (workflows, knowledge base management, optimization).
Technical Communication: Strong skills in translating observed model performance issues and Agentic Action requirements into clear, prioritized technical requirements for R&D teams.
Ownership: A dedicated individual who takes full responsibility for their work, driving projects to successful completion.
Data/Content Governance: Experience with data validation, content management, and implementing data governance standards, especially for knowledge bases feeding AI systems.
Preferred Qualifications
Prompt Engineering: Proven expertise in systematically authoring, testing, and refining instructional inputs to drive specific model behavior.
Cloud Technologies: Experience with Cloud platforms like GCP, Kubernetes and containers
CI Pipelines using Gitlab
Experience with BigQuery
Experience working with APIs.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8718885
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Location: Petah Tikva
Job Type: Full Time
As a Senior AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.
Requirements:
Your Experience:
Bachelors degree in computer science or an engineering-related field.
4+ years of experience in software development.
Experience with cloud infrastructure (e.g., AWS, GCP, Azure).
Proven experience as a Python developer.
Meaningful experience developing AI products with LLMs, including solution architecture, development and prompt engineering.
Attention to detail, ability to multitask, and strong interpersonal skills.
Preferred Qualifications
Specific experience with AWS.
Experience with the Agentic AI architecture, MCP, and A2A.
Experience in enterprise-scale application development in a SaaS environment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8718678
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidlyזprototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.
Requirements:
Strong experience building and operating AI agents or autonomous systems in production environments.
Hands-on experience with LLMs, agent frameworks, tool use, reasoning systems, retrieval, evaluations, or multi-agent orchestration.
Proven ability to rapidly design experiments, iterate on ideas, and turn research into reliable production systems.
Deep familiarity with the rapidly evolving AI ecosystem; enthusiasm for continuously experimenting with new models, techniques, architectures, and research directions.
Strong intuition for identifying which new AI capabilities are production-ready versus hype, and ability to quickly translate frontier advances into practical systems.
Strong engineering skills, especially in Python and modern AI infrastructure.
Proven ability to own problems end-to-end, from research and prototyping through deployment, scaling, and reliability.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8718631
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
01/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities
Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with our source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.
Requirements:
Qualifications
5+ years of ML / AI engineering, with at least 2 years building production AI / Agentic systems.
Hands-on with at least one Agentic framework (LangGraph, CrewAI, or custom) and an LLM provider's production tooling APIs.
Fluency in Python.
Track record of shipping fast: has examples of taking an AI system from idea to production in weeks, not quarters.
Comfortable working directly with business stakeholders without a product manager intermediary on every interaction.

Nice to have
Payments domain knowledge or experience in another regulated industry.
Production experience with Snowflake, Splunk, or similar enterprise data and observability platforms.
Open-source AI tooling contributions or technical writing.
Has built evaluation harnesses for LLM systems beyond simple accuracy metrics (e.g. hallucination scoring, agent trajectory eval).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8718593
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
01/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.

Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.

Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.

Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.

Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.

Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.
Requirements:
Qualifications
5+ years in product management, technical/process consulting, or operations roles -with hands-on experience decomposing real workflows from scratch, not just documenting them.
AI and automation literacy - understands what agentic AI can and cannot do, can read enough code to challenge an AI engineer's assumptions, and has worked on at least one AI or automation project.
Strong data fluency-comfortable pulling and analyzing activity data using SQL, Excel, and basic Python or notebook tools.
Executive communication - writes and presents to senior business stakeholders, including charter leads at the VP level and above.
Able to own analysis deliverables independently - this is not a junior coordinator role.
Process-design or operations background in a domain with real workflow complexity (financial services, operations, customer success, claims, etc.).

Nice to Have
Experience in payments or another regulated industry.
Prior experience on an AI delivery team or within a large-scale digital transformation program.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8718582
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