Head of AI

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8680200

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19/08/2026

AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are a fast-paced, technology-driven team where everyone's contribution impacts product success.

We are looking for a hands-on, business-minded AI Engineer to join our Data & AI Team.

This role is for someone who has already built and shipped real AI products in a company environment. You will work as an integral part of the Data & AI Team, partnering directly with business stakeholders to identify high-impact opportunities, translate business needs into technical solutions, and build AI products that automate internal processes and create immediate value.

The ideal candidate is a builder. You should be comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, data warehouses, and internal company systems. You should also be comfortable taking ownership, asking sharp business questions, and moving ideas from concept to production.

Our Data Team has already built internal AI products at our company. Now we are looking for someone who can help take us to the next level.

What Were Looking For
The right person has built with AI in a real company environment and knows how to turn business needs into practical internal products. They should be comfortable working with stakeholders, understanding how teams operate, and identifying where AI can create meaningful value.

Because this role sits inside the Data & AI Team, they also need to be strong with data. That means working confidently with company data, data warehouses, pipelines, APIs, and the technical building blocks that make AI products reliable and useful.

This role is for someone hands-on, curious, and hungry to build. Someone who can combine AI, data, and business context to help our company move faster, automate smarter, and turn ideas into measurable business wins.

What Youll Do
Build end-to-end internal AI products, automations, agents, and workflows that solve real business problems across our company.
Work directly with business stakeholders to understand pain points, define requirements, and turn ideas into scalable AI-driven solutions.
Design, prototype, test, deploy, and maintain production AI products using LLMs, AI agents, APIs, automation frameworks, and internal company data.
Work hands-on with data tools and infrastructure, including Snowflake, ETLs, data pipelines, APIs, AI tools, and internal servers.
Identify high-impact manual processes and turn them into automated AI-driven business wins.
Evaluate new AI tools, frameworks, and agentic workflows, and apply them where they can improve productivity, decision-making, or business operations.
Help shape internal AI development best practices around reliability, usability, security, documentation, maintainability, and production readiness.

דרישות:
2-5 years of hands-on experience in AI Engineering, Data Engineering, Software Engineering, Data Science, Analytics Engineering, or a similar technical role.
Proven experience building and deploying AI-powered products, workflows, agents, automations, or business solutions in a real company environment.
Strong hands-on experience with LLMs, AI agents, prompt engineering, RAG, workflow automation, APIs, or AI development frameworks.
Ability to code and build practical solutions using Python, SQL, JavaScript/TypeScript, or similar languages.
Strong data experience, including ETLs, data pipelines, APIs, databases, data warehouses, and Snowflake.
Experience working in a SaaS or B2B technology company.
Strong business acumen, ownership, and communication skills, with the ability to work independently with stakeholders and drive projects from idea to production.
Degree in Engineering, Computer Science, Mathematics, Statistics, Physics, or a related quantitative field - advantage
Advantages
Experience with agent frameworks, RAG systems, vector databases, orchestration tools, Snowflake, Airflow, Rivery, Gitlab, Claude, OpenAI, or similar tools.
Experience working in a cybersecurity or data company.#ENGLISH המשרה מיועדת לנשים ולגברים כאחד.

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8789170

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1 ימים

AI Solutions Specialist

חברה חסויה

Location: Tel Aviv-Yafo and Netanya

Job Type: Full Time

We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.

דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.

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8804088

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חברת השמה / כח אדם

7 ימים

Head of AI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth.
Responsibilities
Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence.
Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks.
Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work.
Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems.
Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows.
Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution.
Governance, Security, AI Cost Management (AI FinOps)& Economics:
Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment.
Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models).
Specialized open-source models) to optimize compute costs.
Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation.

דרישות:
Strategic Visionary: Experience in defining and executing a technological or operational strategy, with a proven ability to translate AI trends into a structured corporate roadmap.
Deep Technological Understanding of GenAI & Autonomous Systems:
Always up-to-date with the most recent AI technologies and capabilities, with a strong grasp of software architecture, Data engineering, and modern AI paradigms (LLMs, RAG, API integrations).
Deep understanding of how autonomous agents and AI reshape modern job functions, with the ability to set new standards for workforce assessment and collaboration between humans and machines.
Hybrid Tech & Business Background:
Significant experience in technological leadership, Internal Product Management, Platform Engineering, or digital transformation.
Experience overseeing the lifecycle of internal applications is an advantage, particularly with exposure to AI-assisted development platforms and modern AI generation tools from ideation to deployment.
Entrepreneurial Spirit & Matrix Leadership:
An "Enabler" by nature - someone who builds secure foundations for teams to innovate rapidly.
Exceptional communication skills - the ability to articulate complex concepts to R&D teams, Legal, and C-Level executives.
The ability to step into a "blank canvas" environment, establish methodologies, prove immediate business value, and subsequently build a team and budget around that success.
Proven ability to orchestrate company-wide transformatio המשרה מיועדת לנשים ולגברים כאחד.

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8796414

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1 ימים

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 company 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
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

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

This position is open to all candidates.

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8803959

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חברת השמה / כח אדם

לפני 6 שעות

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.
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.
Strong grasp of modern patterns for integrating LLMs into real workflows, including RAG, MCP (Model Context Protocol), vector databases, agents, tool use, and context engineering- with hands-on experience building with several of them.
- Production experience implementing LLM-powered systems end-to-end, using relevant tools and frameworks (e.g. LangChain, LlamaIndex, LangGraph, Haystack, Pydantic AI, vector stores like Pinecone/Weaviate/pgvector, observability tools like LangSmith or Langfuse).
- Solid foundation in core ML concepts; embeddings, evaluation, overfitting, generalization, and how classical ML relates to and differs from modern LLM-based approaches.
Nice to Have:
- Experience fine-tuning or distilling open-source models.
- Contributions to open-source AI/ML projects.
- Experience with streaming, real-time systems, or low-latency inference.
- Familiarity with prompt evaluation frameworks and LLM-as-judge methodologies.

This position is open to all candidates.

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8805503

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6 ימים

BizOps Engineer (AI-native)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.

Requirements:
5+ years in software engineering, DevOps, or business systems engineering.
Deep technical proficiency in AI-native tools (LLMs, RAG, agentic workflows) and hands-on experience building complex API-first integrations and data pipelines.
Strong product sense and intuition for user needs to design ROI-driven internal tools that translate operational bottlenecks into technical requirements.
Ability to operate effectively as an individual contributor today while possessing the vision to build and lead an engineering team as the function scales.

This position is open to all candidates.

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8797662

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23/08/2026

Software Engineer (Backend)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer to join our founding team. The focus of this role is to design, develop, and deploy autonomous AI agents that can automate and optimize complex enterprise workflows. You will work on building intelligent systems capable of decision-making, data extraction, document processing, and other tasks typically requiring human intervention. This is an opportunity to influence the architecture and strategy of AI-driven automation solutions for large-scale enterprise environments.

Your Impact
AI Agent Development

Design and develop autonomous AI agents using best of breed large language models to automate tasks such as document processing, data extraction, and workflow management.

Implement reinforcement learning techniques to enhance decision-making capabilities of AI agents.

AI Integration

Build and integrate APIs that connect AI agents with external systems and enterprise software (ERP, CRM).

Use frameworks like TensorFlow, PyTorch, or Hugging Face to deploy and optimize AI models for real-time processing.

Data Processing and Pipelines

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data efficiently.

Optimize data handling to improve speed and accuracy of AI agents.

Security and Compliance

Implement authentication and authorization mechanisms to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g., GDPR, HIPAA) and adopt best practices for secure data handling.

Cloud Infrastructure and Scalability

Deploy AI agents on cloud platforms (AWS, GCP, or Azure) ensuring scalability and reliability.

Leverage containerization (Docker, Kubernetes) for efficient deployment and management.

Testing and Optimization

Develop and execute unit, integration, and performance tests for AI-driven systems.

Continuously monitor and optimize system performance for speed, accuracy, and cost-efficiency.

Collaboration

Work closely with AI researchers, front end engineers, and product teams to align AI agent capabilities with business requirements.

Participate in code reviews, design discussions, and architecture planning to drive innovation.

Requirements:
5+ years of experience in software engineering with a focus on AI-driven or autonomous systems.

Proven track record of deploying AI models or agents in production environments.

This position is open to all candidates.

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8793042

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אירעה שגיאה בשליחת פרטיך למשרה

11/08/2026

AI Product Owner

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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:
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.).

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8777799

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מייל

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שליחה

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חברת השמה / כח אדם

12/08/2026

Data Infra Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. The Data Tech Lead sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of intelligent data services.

This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.

Your impact and responsibilities:

Leading the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Defining, implementing, and enforcing engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentoring, supporting, and growing a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identifying opportunities to create new data assets and features that expand product capabilities and value proposition.
Driving architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborating closely with cross-functional stakeholders- including Product, DevOps, and R&D - to ensure effective delivery and platform stability.
Promoting and championing a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

Requirements:
Minimum 5 years of hands-on experience designing, building, and maintaining large-scale data pipelines for both batch processing and streaming use cases.
Deep expertise in Python and SQL, with a focus on writing clean, performant, and maintainable code.
Strong analytical and problem-solving skills, with the ability to break down complex technical challenges and align solutions to business objectives.
Solid background in data modeling, analytics, and designing architectures for scalability, performance, and cost efficiency.
Strong problem-solving skills and ability to work in a fast-paced, high-growth environment
Practical experience working with modern OLAP systems and cloud data platforms, including Databricks, Snowflake, or BigQuery.
Familiarity with AI agent protocols (such as A2A, MCP) and LLM-related technologies (e.g., vector databases, embeddings) is a plus.
AI-saviness, with comfort adopting AI tools and staying current with emerging AI trends and technologies.
Experience leading Task Forces and cross-domain projects

This position is open to all candidates.

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8778832

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תודה על שיתוף הפעולה

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תוכל לצפות בה בדף המשרות שלי

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30/07/2026

AI Solutions Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for an AI Solutions Engineer to join our Transformation & Business Systems team. This role is built for someone fluent in AI-native building: you know how to vibe code a working tool end-to-end, you're hands-on with at least one automation platform, and you understand how LLMs, agents, and workflows actually fit together. You'll work directly with stakeholders across Finance, HR, Sales, Support, and IT to map manual processes and turn them into automated, AI-powered systems.

What Youll Be Doing:
Map manual, repetitive business processes end-to-end across the company - Finance, HR, Operations, Marketing, and the revenue funnel - and identify high-impact automation opportunities.
Own automation delivery from idea to production: translate requirements from non-technical stakeholders and design, build, test, and ship working solutions.
Build automated workflows using platforms like n8n, Zapier, Make, Tray.io, or Workato.
Design, build, and deploy AI agents that plug into real business workflows - embedding LLM APIs for use cases like ticket classification, document data extraction, and automated summarization, and applying RAG and memory patterns so they can reason over company knowledge.
Vibe code complete internal tools end-to-end using AI coding assistants - from rapid prototype (POC) validated with business users to something people actually use in production.
Connect internal systems (CRM, ERP, ticketing, Google Workspace/Microsoft 365) via APIs and webhooks, including AI-powered workflows for Marketing and Revenue teams - lead enrichment, campaign reporting automation, and pipeline data hygiene.
Monitor, maintain, and continuously improve existing automations - documenting processes and training internal process owners along the way.

Requirements:
The Ideal Candidate:
3+ years of hands-on experience building automations or AI-powered workflows, including implementing AI/ML tools into operational workflows.
Solid working knowledge of LLMs - how they work, their capabilities and limitations, and how to get reliable output from them.
Hands-on, practical experience with at least one AI automation/workflow platform: n8n, Zapier, Make, Tray.io, or Workato.
Comfortable "vibe coding" - using AI coding tools (e.g. Cursor, Claude Code, Replit) to build and ship a complete project end-to-end.
Understanding of AI agent workflows - how to design, build, and deploy AI agents - plus working knowledge of RAG (Retrieval-Augmented Generation) and agent memory concepts.
Automation-first mindset and data-driven systems thinker - you look at any manual process, know how to map it end-to-end, and instinctively see how to automate it - with experience on a complex business systems stack (Salesforce, HubSpot, NetSuite, Gong, or equivalent).
Excellent communicator - able to translate operational complexity into clear narratives for executives and cross-functional partners - with familiarity with revenue and marketing systems and workflows (CRM data flows, campaign automation, lead scoring, or pipeline reporting); experience automating or supporting GTM/Revenue-adjacent processes is a strong plus.

This position is open to all candidates.

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8761058

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