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2 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are one of the fastest-growing global body care brands, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally. We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data -driven decisions, and moving quickly from idea to execution. We are looking for a Head of AI & Automation to build and lead our company' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for one of the fastest-growing brands in the world. Initially operating as an individual contributor partnering closely with the CEO and the Management Team, you will care far more about real business impact than technical vanity, holding a proven track record of turning abstract ideas into deployed, production-grade pipelines that deliver measurable commercial value. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations. To thrive in our high-velocity environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives or writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution-bringing a "knife between your teeth" hunger to proactively smash operational bottlenecks. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders. Your life at our company will look like Define and lead the company's AI strategy and execution roadmap. Identify the highest-impact opportunities for AI across all business functions. Prioritize initiatives based on measurable business value, speed of implementation, and scalability. Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents. Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making. Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks. Drive adoption and behavioral change across teams. Partner directly with business leaders to identify opportunities and implement solutions. Evaluate emerging technologies, models, vendors, and platforms. * Establish governance, standards, architecture, and best practices for AI development. Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have Strong technical foundation in Computer Science, Software Engineering, data Science, or a related field. 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments. Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
This position is open to all candidates.
 
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26/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how our company uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what our company should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of our company's internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current.
Requirements:
Strong technical foundation, whether from a development, data, product, or technical operations background
Genuine, demonstrable passion for generative AI; you've built things with it, you follow the space closely, and you have opinions about what works and what doesn't
A track record of picking up new domains quickly and becoming effective without being hand-held
Strong project management skills; you can take an ambiguous objective, break it into steps, and see it through to completion
Clear, confident communicator who can explain technical concepts to non-technical colleagues and bring people along on change
Comfortable with ambiguity and energized by building structure where it doesn't yet exist
Nice to Have
Experience with automation and workflow tools (Zapier, Make, n8n, or similar)
Familiarity with AI agent frameworks or prompt engineering
Exposure to compliance concepts (ISO 27001, SOC 2) even without formal certification
Experience at a startup or high-growth environment where you had to wear multiple hats.
This position is open to all candidates.
 
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13/05/2026
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:
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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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.
This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.
You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).
This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.
What youll do:
Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
Own workflow performance, review success metrics, iterate and demonstrate business impact.
Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
Drive adoption through enablement: documentation, training, and ongoing feedback loops
Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability
Requirements:
4-7 years of experience in Business Systems, RevOps systems, Data/Systems Engineering, or similar hands-on technical roles
Proven experience building and deploying end-to-end workflows and automations in business environments
Hands-on experience with LLM tools and prompt/workflow engineering, with a focus on reliability and real-world use cases
Experience with automation/orchestration tools (e.g., workato) and/or agent frameworks
Strong experience integrating and extending CRM systems (e.g., Salesforce), including workflows, data models, and system integrations
Experience working with APIs, system integrations, and data flows across multiple platforms
Experience supporting GTM / RevOps in a SaaS environment
Strong analytical and problem-solving skills, with the ability to prioritize based on business impact
High ownership and ability to operate independently from idea to production
Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Productivity & Implementation Specialist, you will partner with business units across our company to identify where AI can eliminate friction, accelerate processes, and create measurable efficiency gains. You will not just recommend. You will build, deploy, and own the solutions end to end.
This is a high-visibility role in a team that reports to the COO. Your work will be measured in business outcomes, not activity.
What You Will Do
Partner with business unit leads and department heads to map their end-to-end processes, identify inefficiencies, and assess whether a process should be eliminated, redesigned, or enhanced with AI.
Design and deploy AI-powered automations and workflows using no-code and low-code tools (e.g. BlinkOps, n8n, Claude Cowork, GPT integrations, or similar).
Run AI productivity projects from discovery through deployment and adoption, owning the full lifecycle.
Inspect end-to-end organizational processes and evaluate whether they are needed, broken, or candidates for AI enhancement.
Translate business problems into clear AI solution briefs and present recommendations to non-technical stakeholders.
Develop organizational learning tools and lead training sessions to ensure employees actually use the AI solutions you deploy.
Track and report measurable outcomes: time saved, cost reduced, error rates reduced, cycle times improved.
Requirements:
What We Are Looking For
5 years of experience combining business operations, process improvement, or program management with proven hands-on use of AI tools.
Demonstrable experience deploying AI automations or workflows in a business context, not just personal use.
Strong business sense: you can read a process, identify what is broken, and think about it in terms of time, cost, and risk before thinking about tools.
Excellent communication skills. You will spend as much time in rooms with department heads as in tools. You must hold both conversations credibly.
Comfort with ambiguity. This team is newly formed. You will build structure, not inherit it.
Fluency in Hebrew and English, both written and verbal, required.
A genuine curiosity about AI, not as a trend, but as a craft.
Education
BSc in Industrial Engineering and Management, Organizational Development, Learning Technologies, or equivalent. Equivalent hands-on experience in operations or AI implementation will be considered equally.
Nice to Have
Experience in fintech, payments, or financial services.
Experience with knowledge management systems or learning and development tools.
This position is open to all candidates.
 
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03/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. This role is outward-facing: you will sit alongside GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.
Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.
Why should you join us?
This is a unique opportunity to own the end-to-end AI transformation of entire functions, with executive sponsorship and real mandate. Youll be working as part of an incredibly strong team of senior engineers at the forefront of AI. The work revolves around learning the latest tech in AI, and leveraging it to change how hundreds of people across the organization work every day.
You'll operate with unusual autonomy: scoping problems directly with function leaders, deciding what to build, shipping it, measuring impact, and iterating. You'll work closely with senior leadership to ensure your work aligns with company strategy, giving you company-wide business impact and visibility.
What you will be doing:
Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - quantifying time saved, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.
דרישות:
7+ years of software engineering experience, with a strong track record of shipping production systems.
Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation.
Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
Strong product instincts. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
Passionate about LLMs, prompt engineering, and AI application patterns (RAG, agents, tool use).
Itd be really cool if you also:
Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
Are familiar with GTM/G&A tooling ecosystems (CRM, ERP, BI platforms, HRIS, marketing automation) and understand how AI can augment them.
Have hands-on experience with agentic patterns (Claude Code, MCP, Strand המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Forward Deployed Engineer III, GenAI, Cloud
About the job
As a GenAI Forward Deployed Engineer, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers environment.
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into our future product roadmap.
It's an exciting time to join our Go-To-Market team, leading the AI revolution for businesses worldwide. Youll excel by leveraging our brand credibility-a legacy built on inventing foundational technologies and proven at scale. Well provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Were a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
Responsibilities
Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between ourAI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical friction points in our AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.
Requirements:
Minimum qualifications:
Bachelors degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience building AI-driven solutions for customers in one or more programming languages (e.g., Python, TypeScript).
Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.
Preferred qualifications:
Masters degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or our Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of Large Language Model (LLM) native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
This position is open to all candidates.
 
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03/05/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.
Requirements:
Who are you?
5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
Proven experience with at least one general-purpose language (preferably Python, but not a must).
Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
Strong familiarity with AI coding tools like Copilot, Cursor, or similar.
Experience working with public clouds (AWS / GCP / Azure).
Fluent in written and spoken English.
Itd be really cool if you also:
Are familiar with agentic coding tools like Claude code or Copilot CLI.
Have familiarity with Strands Agents (or similar agentic technologies), RAGs, and Bedrock.
Have experience with MCP (Model Context Protocol).
Are comfortable in a containerized environment.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Forward Deployed Engineer II, GenAI, Cloud
About the job
As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer, you will be an embedded builder bridging the gap between frontier artificial intelligence (AI) products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers environment.
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into our future product roadmap.It's an exciting time to join our Go-To-Market team, leading the AI revolution for businesses worldwide. Youll excel by leveraging our brand credibility-a legacy built on inventing foundational technologies and proven at scale. Well provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Were a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
Responsibilities
Serve as the primary developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between our AI products and customer's live infrastructure (e.g., APIs, legacy data silos, and security perimeters).
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical friction points in our AI stack, converting them into reusable modules or product feature requests for the engineering teams.
Deliver engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.
Requirements:
Minimum qualifications:
Bachelors degree in Engineering, Computer Science, a related technical field, or equivalent practical experience.
6 years of experience in building and shipping artificial intelligence solutions to external or internal customers using one or more programming languages (e.g., Python, TypeScript).
Experience guiding technical discovery sessions with business stakeholders and engineering teams to define artificial intelligence and hardware infrastructure requirements.
Experience architecting artificial intelligence systems on cloud platforms (e.g., Google Cloud).
Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation (RAG) architectures to power artificial intelligence solutions.
Preferred qualifications:
Masters degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or our ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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תיאור
שליחה
סגור
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate.
This is not a research role. Youll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short.
If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
Requirements:
3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code
2+ years of GenAI development experience, with strong AI/ML focus - MUST
Strong Python skills and production mindset - MUST
Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems
Experience with LangGraph, crewAI, Strands or similar orchestration frameworks
Experience in enterprise grade agentic solutions and bringing Agents into production
Experience in AWS Agent Core - Advantage
Solid understanding of ML workflows and MLOps principles
Strong analytical skills and ability to work directly with non-technical stakeholders
Builder mindset: proactive, independent, and impact-driven
Experience with Agentic AI driven applications like n8n, UiPath, Make -Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8646359
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.
Requirements:
2-3 years of proven experience with AI solutions
Strong hands-on software development experience, including writing, maintaining, and delivering production-quality code
Strong GenAI development experience with LLMs, SLMs, prompt engineering, context engineering, and agent-based systems
Strong Python skills and a production-focused engineering mindset
Experience designing and building agentic AI workflows, RAG pipelines, LLM-powered applications, copilots, or intelligent automation solutions
Experience bringing AI agents, GenAI applications, or automation solutions into production
Solid understanding of APIs, integrations, databases, cloud environments, monitoring, logging, security, and deployment practices
Ability to work directly with non-technical stakeholders and translate business needs into technical solutions
Experience with AWS AgentCore, n8n, UiPath, Make, Workato, or similar is an advantage
Experience with enterprise AI governance, security, compliance, and privacy requirements is an advantage
Strong builder mindset: proactive, independent, hands-on, business-oriented, and impact-driven.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8646362
סגור
שירות זה פתוח ללקוחות VIP בלבד