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11/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Backend Engineer to join Evinced and play a key role in evolving our GenAI-driven products that expose and deliver capabilities to customers.

In this role, you will design, implement, and maintain high-quality backend services that power AI-based interfaces such as MCP, Slack/VS Code chatbots, agents, and additional automation tools, ensuring seamless access to tools and features.

You will be responsible for building reliable and scalable systems that enable developers and accessibility experts to easily leverage technology and gain actionable insights for improving the accessibility of their code.

Your Impact:

Research and implement industry-leading technologies into our technology stack.
Design and implement scalable solutions to enhance the product architecture.
Plan and execute complex, distributed, large-scale software delivery systems.
Monitor and optimize all aspects of product performance.
Troubleshoot issues across various services and functional areas.
Requirements:
5+ years of experience with modern web-scale languages/frameworks with a focus on Python and Node.js (TypeScript). Additional languages/frameworks, e.g. JVM-based GoLang, are nice to have.
Proven experience in hands-on design and work on complex SaaS systems
Proficiency with at least one primary cloud provider (GCP, AWS, Azure), including serverless and Kubernetes-based deployments
Experience in managing and maintaining production systems
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
As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:

Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.
Requirements:
Minimum of 5 years experience in software development
Languages: Extensive experience with C/C++, Python, JavaScript/TypeScript, and Scala.
Distributed Systems: Proficiency with Node.js, Apache Flink, Apache Spark, and Apache Airflow.
Containerization & Orchestration: Strong knowledge of Docker and Kubernetes (K8s).
Microservices: Experience designing and implementing microservices architectures.
Big Data: Hands-on experience with big data technologies and processing.
Bonus: AI Knowledge
This position is open to all candidates.
 
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11/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented and experienced team manager to head our Data Science team within the critical Risk domain. This role uniquely combines hands-on development of vital risk prevention models, team mentoring, defining the technological strategy, and driving innovation in the field of AI Agents.

Key Responsibilities
As the Data Science Team Lead for Risk, you will be responsible for:

Technological and Strategic Leadership: Defining and implementing the Data Science strategy for the Risk domain, while identifying critical business and technological opportunities.
Hands-on Development: Actively working on the development, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud.
Team Management and Mentoring: Managing and guiding a team of talented Data Scientists, including work planning, professional development, providing mentorship, and contributing to talent acquisition.
AI Agents Innovation: Leading the team's efforts in the field of AI Agents within Risk, including architectural design, developing complex Agent Workflows, advanced Prompt Engineering, and developing rigorous Evaluation methodologies to ensure reliability and accuracy in production.
Cross-Functional Collaboration: Managing strategic relationships and collaborations with Engineering, Product Managers, Analysts, and other stakeholders to ensure solutions meet critical business needs.
Production Deployment: Ensuring Data Science solutions transition reliably, scalably, and efficiently from concept to production and making significant impact.
Requirements:
5+ years of experience as a Data Scientist, with at least 2 years of proven experience in managing or leading a team of data scientists.
Strong background and practical experience developing and leading end-to-end Machine Learning projects.
Experience working closely with development teams
Proven hands-on experience working with Large Language Models (LLMs), including:
Building Agent-Based Frameworks to solve complex problems.
Advanced Prompt Engineering.
Defining and building Agent Workflows that interact with data sources and APIs.
Establishing and executing comprehensive validation frameworks of Gen-AI solutions.
Excellent interpersonal and leadership skills: ability to manage and develop people and build strong relationships with key internal partners.
Ability to take full ownership of projects, from initial idea through to deployment in production.
Experience working in a Big Data environment and at scale.
B.Sc in Computer Science, Physics, Mathematics, Electrical Engineering, Statistics, or a related quantitative field
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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11/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an AI Specialist to explore and implement practical AI solutions that drive smarter decisions, automate workflows, and unlock new opportunities for our business.
Youll be the person who transforms curiosity into impact - testing tools, integrating technologies, and guiding how AI can bring real value to our teams and operations.
In this role, your responsibilities will Include, but wont be limited to:
AI Exploration & Implementation:
- Identify opportunities where AI can improve processes and decision-making.
- Explore, test, and integrate AI tools and technologies into workflows.
- Create proof-of-concepts and small-scale pilots to demonstrate value quickly.
Data & Insights:
- Work with large datasets to uncover patterns, trends, and actionable insights.
- Translate business needs into simple, clear AI solutions that solve real problems.
- Document processes and learnings so teams can build on your work.
Optimization & Support:
- Monitor and maintain AI tools and workflows to ensure they consistently deliver results.
- Troubleshoot issues and refine solutions to improve efficiency and accuracy.
- Stay up to date with emerging AI trends and bring new ideas to the team.
Requirements:
Are you a naturally curious individual with a passion for problem-solving? Wed love to hear from you if you meet the qualifications below:
- Hands-on experience working with data and implementing AI technologies, with a curious and practical approach to exploring new tools.
- Strong analytical and problem-solving skills with a practical mindset.
- Excellent communication and collaboration abilities across teams.
- High proficiency in English (written and spoken).
- Nice to have: Experience with Salesforce, Airtable, Tableau, Excel, Google Suite, or other data management tools.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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11/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.

What Youll Do

Lead an applied research for AI-driven features in the platform
Research and optimization agentic flows to solve complex problems
Collaborate with engineering teams to design, build, and maintain production pipelines
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.
Requirements:
Masters/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems.
High proficiency in Python
Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures. Also, a solid understanding of transformers, optimized fine-tuning techniques, and evaluation methodologies of LLMs while using relevant frameworks (Hugging Face, LangChain, LlamaIndex, etc)
Familiarity with embedding models and vector databases - advantage
Experience in data exploration and visualization
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8495624
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are a dynamic and innovative startup thats digitizing the physical world by turning passive items into active communicators.
We are looking for a talented and experienced Product Manager with hands-on GenAI expertise to join our growing team.
If you are passionate about building cutting-edge solutions, thrive as a key player in a growing startup thats shaping the future of retail fashion technology, and have already shipped GenAI-powered features into production - join us for a hands-on, high-impact role where you can see the direct results of your efforts. Lets create something remarkable together.
You will play a pivotal role in shaping our products future, ensuring it meets the evolving needs of our clients. Youll continuously discover customer needs, experiment with new features, dive deep into data, extract meaningful insights, and translate these into powerful features and improvements. In addition, youll provide the GenAI product leadership and infrastructure that will enable our company to layer conversational and text-based capabilities into our solution.
Responsibilities
Lead the end-to-end product lifecycle: from uncovering and discovering customer needs, through product experimentation, definition and launch, to post-launch optimization.
Own the product definition and delivery of our companys GenAI interaction layer - chat-based and text-based experiences tightly linked to our company data, KPIs, and personas.
Build the product foundations for GenAI (infrastructure, interaction flows, evaluation frameworks) to enable the entire product team to integrate GenAI capabilities into their areas.
Collaborate with engineering, design, and data teams to prioritize and deliver high-impact product initiatives, including GenAI-powered features.
Develop and own evaluation frameworks for GenAI experiences (accuracy, reliability, hallucination tolerance, and product-specific quality metrics).
Engage directly with customers for continuous discovery, validating the usability, value, and adoption of GenAI-powered features.
Act as the internal GenAI product champion, educating and enabling the broader product team to leverage GenAI responsibly and effectively.
Drive product strategy and vision, backed by a deep understanding of the market, competitive landscape, and evolving role of GenAI in enterprise solutions.
Requirements:
Minimum 4 years of experience in a product management role, ideally within a B2B startup environment.
Proven track record of shipping GenAI-powered features in production (chatbots, assistants, LLM-powered applications, or interaction layers).
Hands-on experience with the GenAI product development lifecycle: data integration, prompt design, user interaction flows, deployment, and iteration.
Strong knowledge of GenAI evaluation techniques (custom evals, quality testing, metrics design, hallucination/error detection).
Familiarity with AI/ML infrastructure concepts such as retrieval-augmented generation, data pipelines, model integration, and fine-tuning - from a product perspective.
Strong analytical skills, with hands-on experience in handling data and utilizing it to make informed decisions.
High agency, exceptional problem-solving skills, and the ability to operate effectively under uncertainty.
Proven ability to manage multiple priorities in a fast-paced environment.
Willingness to work long hours and travel as needed.
Excellent customer-facing presentation skills, with the ability to communicate complex ideas effectively.
Passion for technology and retail, with a drive to continuously learn and adapt.
This position is open to all candidates.
 
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07/01/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.
Requirements:
8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage
Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage
Product-oriented mindset: you care deeply about building things that work well for users.
Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking an experienced AI Product Manager with a strong technical background to lead the development and evolution of our groundbreaking AI Autopilot product. This role is responsible for steering initiatives that dramatically increase operational efficiency by leveraging autonomous AI to resolve IT issues, automate Tier 1 support, and empower customers with true self-service IT. You will shape the future of our platforms AI capabilities, making a bold impact on both the IT management software industry and the daily lives of IT professionals and end users.
Responsibilities:
Lead and manage a dedicated AI squad, comprising cross-functional team members such as AI/ML engineers, developers, and product designers.
Drive the strategic vision and roadmap for our companys AI Autopilot module, defining priorities based on customer needs, automation opportunities, emerging AI trends, and competitive benchmarks.
Collaborate intensively with stakeholders to understand market trends, organizational pain points, and the evolving competitive landscape related to autonomous IT and agentic AI.
Define and prioritize AI-driven product requirements, orchestrating feedback from users, market analysis, and internal specialists to maximize impact and adoption.
Own the full AI product lifecycle, from ideation and prototyping to launch, continuous optimization, and post-release monitoring, with a focus on delivering measurable improvements in IT workload automation, ticket resolution speed, and user experience.
Collaborate closely with our companys CTO, design, engineering, customer success, analytics, marketing, and support teams to steer AI development, deployment, and iterative enhancement.
Establish and monitor KPIs for Autopilot usage, SLA improvements, and automation impact, using analytics to refine AI workflows and effectiveness.
Champion secure, ethical, and compliant use of AI, ensuring privacy and governance within all automation flows.
Work directly with design partners and customers to deliver a 100% market fit product.
Requirements:
5+ years of experience as a Product Manager for technical products in a SaaS environment, including at least 2 years designing, launching, or actively managing products with integrated AI features, platforms, or tooling.
Strong understanding of agentic AI, autonomous workflows, and ITSM automation-a significant advantage.
Experience as an engineer or equivalent role is an advantage.
Proven track record of driving successful cross-functional teams to deliver high-impact products.
Deep technical expertise in software development methodologies, particularly for AI and automation solutions.
Outstanding analytical skills; ability to convert abstract concepts and stakeholder pain points into actionable product/AI product requirements.
Excellent communication and presentation skills for collaborating with technical and non-technical audiences.
Hands-on familiarity with Agile development methodologies and product management tools.
Bachelors degree in Computer Science, Engineering, Data Science, or a related field (preferred); advanced degrees or AI certifications are highly valued.
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
The Principal Architect will be a strategic force shaping the next generation of our AI-powered security platform. Sitting at the intersection of product vision, advanced engineering, and emerging technology, this leader will set the architectural direction for the company and ensure our platform can scale to meet the most complex global security challenges. Reporting to the President, Product and Technology, youll tackle the toughest technical problems, drive clarity in high-stakes decisions, and influence the long-term trajectory of our business.

This is an opportunity to operate with executive-level visibility and impact: defining the blueprint for a platform trusted by enterprises worldwide, embedding AI and machine learning into production systems at massive scale, and raising the technical bar across a global engineering organization. Your work will not only determine how we build today but will also shape the competitive edge of our technology for years to come.

What Will You Do?
Strategic Architectural Leadership

Define the Future Architecture: Serve as the final authority and strategic driver for the company's platform architecture, ensuring it aligns with our long-term vision, supports massive scale, and accelerates the delivery of our AI, data, and security product roadmap
Platform & AI Integration: Lead the architectural design and evolution of our core platform components, focusing on seamless integration, high-performance data pipelines, and the operationalization of cutting-edge AI/ML capabilities into our threat detection and response engine
Executive Technical Steering: Provide decisive technical guidance to R&D, Product Management, and Executive Leadership on critical build-vs-buy decisions, technology investments, and architectural trade-offs that have significant business impact
Customer and Partner Leadership: Lead architecture and design discussions with key customers and partners, maximizing the reach and potential of our platform
Technical Problem Solving & Governance

Systemic Risk Reduction: Identify and architect solutions for the most pressing systemic security, performance, and scaling issues across our production environments (multi-cloud/hybrid); this includes evolving our cloud security posture, data governance model, and continuous delivery pipelines
Architecture Governance: Institute and champion a flexible, yet disciplined, set of architectural principles, standards, and patterns to ensure engineering velocity without compromising security, reliability, or cost-efficiency
Technology Scouting: Maintain expert-level awareness of emerging technologies, particularly in Generative AI, large-scale data processing, serverless/container orchestration (e.g., Kubernetes), and cloud-native security, evaluating their potential to provide a competitive advantage
Influence & Mentorship

Engineering Elevation: Act as a hands-on mentor and technical thought leader, raising the architectural competence of senior engineers and architects across the organization
Cross-Functional Alignment: Drive architectural consensus and adoption across globally distributed teams within the Product and Technology teams (R&D, DevOps, Cloud Ops, Security, and Product) and with Go-to-Market teams (Partners, Systems Engineering) often bridging technical silos and resolving complex organizational dependencies
דרישות:
12+ years in technical leadership roles, with 4+ years as a Principal Architect, Distinguished Engineer, or equivalent role in a global-scale SaaS or cybersecurity company
Deep expertise as a lead architect defining and evolving infrastructure, middleware, security, data, AI, and services architectures
Expertise in designing and operating large-scale, multi-region cloud security platforms (AWS required; exposure to GCP/Azure preferred)
Hands-on experience deploying AI/ML in production, including operationalizing models, LLM architectures, vector databases, and high-performance data pipelines המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
seeking a Staff Product Manager to lead our cutting-edge solution for securing agentic AI systems in enterprise environments. This role blends strategic vision with hands-on execution, requiring you to understand market trends in the rapidly evolving field of AI agents while working directly with R&D and cross-functional teams to deliver premium products to top-tier companies. You'll shape product strategy and collaborate with GTM, sales, and marketing teams to build a world-class offering that addresses an urgent market need-securing AI agents. The ideal candidate has a strong background in B2B SaaS security products, enterprise security systems, and experience with generative AI technologies. This position reports directly to the Head of Product and requires presence at our Tel-Aviv office.

What will you do?

Drive the direction and daily execution of our security for agentic AI product line Create product specifications and work in tandem with design and engineering to build world-class products that are delightful to use, and solve an urgent market need Define and drive KPIs for product success, aligning with company-wide objectives Join a high-performing, high velocity team that delivers impactful solutions to some of the worlds largest companies Work directly with sales and marketing teams to create technical demonstrations, documentation, and enablement materials, to drive the products commercial success Conduct user interviews and usability testing sessions to collect direct feedback for iterative product improvement Stay abreast of market trends, emerging threats, and best practices in the rapidly evolving field of AI agent security, becoming the company's recognized expert in this domain
Requirements:
5+ years of experience in product management for B2B SaaS security products

Proven track record of developing and launching enterprise security products that address emerging technology risks

Strong understanding of enterprise security systems, compliance frameworks, and security operations

Exceptional stakeholder management skills with ability to collaborate with R&D, marketing, sales, and executive leadership

Excellent verbal and written communication skills with experience explaining complex security concepts to technical and non-technical audiences Expertise in agile product management methodologies and tools (e.g., Jira, user stories, acceptance criteria)

Experience with generative AI technologies and understanding of their security implications in enterprise environments Familiarity with AI-specific threats, including prompt injection, jailbreaking, toxicity, as well as adversarial or red-teaming approaches for LLMs/AI agents - significant advantage

Experience with agentic AI systems (e.g., Microsoft Copilot Studio) - significant advantage
This position is open to all candidates.
 
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
At our company, our AI settles claims in seconds and our pricing models rewrite risk in real time. We don't just talk about AI, we ship it to millions of customers every day.
Our bots handle real claims with real money. Our engineers build products that couldn't exist before LLMs and real-time data pipelines. We're turning insurance into a fully autonomous service.
The GenAI team builds conversational experiences that feel human and decision engines that learn on their own. If moving from prototype to production with millions flowing through it gets you buzzing, keep reading.
In this role you'll:
Design, build, and own end-to-end Generative-AI services from first prompt to production rollout
Combine retrieval-augmented generation (RAG), function calling, and agents to automate underwriting, claims, and customer support flows
Fine-tune open-source and commercial LLMs on proprietary datasets, evaluate with both offline benchmarks and online A/B tests
Collaborate with product, data science, and design to invent new AI-first customer experiences (and kill the bad ones fast)
Build scalable APIs and micro-services (TypeScript/NestJS or Python/FastAPI) running in Kubernetes on AWS
Instrument, monitor, and continuously improve model quality, latency, and cost you ship it, you own it
Mentor fellow engineers on GenAI best practices: prompt engineering, vector search, safety & guard-rails
Contribute to internal tooling that automates the boring stuff (CI/CD, sandbox environments, branch deploys).
Requirements:
6+ years building production-grade backend or ML systems that real users depend on
Tangible experience with LLMs prompting, fine-tuning, or deploying them behind an API (show us what you've shipped)
Fluency in at least one backend language (TypeScript, Python) and familiarity with cloud-native infra (Docker, K8s, AWS)
Strong grounding in algorithms, data structures, and probability CS, EE, Math, or equivalent real-world chops
Demonstrated skill in building resilient, high-traffic, "can't-go-down" services (finance, gaming, ad-tech, etc.)
Passion for agentic coding: chaining tools, orchestrating workflows, letting the machine do the grunt work
Curiosity, pragmatism, and the ability to learn crazy-fast (zero bureaucracy, maximum building)
Hands-on with vector databases (Pinecone, Weaviate, PGVector) or semantic search systems - an advantage
Experience implementing policy, safety, or red-teaming frameworks around GenAI - an advantage
Open-source contributions or published research in NLP / generative modeling - an advantage
Prior work with voice bots, multimodal models, or real-time streaming architectures - an advantage
Ability to work in an office environment a minimum of 3 days a week.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8482930
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.
You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering - bringing models to life in production, optimizing for performance, and building reliable systems - this role is for you!
Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models.
Requirements:
3-5 years of experience in ML Engineering, AI models deployment or MLOps roles.
Strong software engineering background with hands-on experience (Python or Java preferred) building and maintaining production ML services
Solid understanding of machine learning systems and inference pipelines
Familiarity with monitoring practices and production diagnostics for ML services (e.g logs, metrics, alerting)
Proven experience in optimizing AI models for performance (response-time, memory, CPU usage) particularly in real-time or large-scale environments.
Strong proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.)
Experience deploying AI solutions in cloud environments (AWS, GCP, or Azure)
Nice to have
Familiarity with GenAI production environments - working with LLMs, vector databases, and third-party generative AI APIs.
Understanding of AI governance, compliance, security, and responsible AI principles.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8482846
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.
Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.
Requirements:
3-4 years in Data Science, ML, or AI research.
Hands-on experience with LLMs, content engineering, and GenAI applications.
Demonstrated success operating AI/ML systems in production, including monitoring, logging, and continuous improvement.
RAG expertise (retrieval-augmented generation) for AI enhancement.
Experience architecting and orchestrating agent-based LLM workflows (e.g., LangGraph) to automate multi-step tasks.
Familiarity with the Model Context Protocol (MCP) for standardized context and tool integration between GenAI models and external services.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8482836
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
As an AI Engineer on our Search Engine team, youll help build the state-of-the-art, powered-by-AI search. Youll design and operate high-performance services that transform user intent into fast, accurate, and reliable results. Your work sits at the foundation of how customers discover companies and contacts, delivering a seamless, intelligent search experience at scale.

What You'll Actually Do:

Build lightning-fast APIs serving recommendations, contact, and company data to millions of users daily.
Design event-driven systems that sync data across products and data lakes in real-time.
Develop agentic flows and integrate AI solutions that optimize user experience.
Optimize data retrieval, caching, and indexing for sub-second response times at scale.
Create fault-tolerant services with robust monitoring and CI/CD that just work.
Collaborate with Data Scientists and ML engineers to power AI-driven features and pipelines that customers use.
Requirements:
Backend engineers with 4+ years building production APIs and large-scale data systems
Polyglot developers fluent in Python and/or Node.js with strong performance optimization skills.
Strong hands-on experience with Elasticsearch (mappings, analyzers, tuning) and vector search for low-latency semantic retrieval.
Experience integrating LLM capabilities into backend workflows, including basic prompt and context engineering.
Solid understanding of CI/CD, observability, distributed systems, and scalable service patterns.
Ability to work with React, handle UI exceptions, and collaborate on micro-frontend components when needed.
Ability to work on projects independently and collaborate in a team environment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8481857
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דיווח על תוכן לא הולם או מפלה
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Architect, youll sit at the intersection of data engineering, ML systems, and platform architecture. Youll own the patterns, guardrails, and data platform capabilities that let teams ship AI-native, low-latency experiences at scale-safely, reliably, and cost-effectively.

What Youll Actually Do:

Design AI-native data systems: LLM/RAG pipelines, embeddings & vector search, and real-time inference- production-grade and observable.
Evolve the data platform: Batch + streaming + lakehouse; CDC, orchestration, lineage/quality, and clear data contracts for ML readiness.
Set org standards: Contract-first APIs & event schemas, ADRs, SLOs (latency/MTTR/cost); lead design reviews and architecture spikes.
Modernize pragmatically: Guide adoption of Databricks, Kafka, Airflow, Kubernetes, Terraform, and modern observability- fit to purpose.
Lead by influence: Mentor Tech Leads, partner with Product/ML/Platform, and turn goals into resilient, measurable systems.
Requirements:
5+ years as a Software/Data/Solution Architect in AI-intensive or data-heavy environments; ~10+ years engineering overall.
Distributed systems depth: microservices, event-driven design, backpressure/idempotency, retries/DLQs; contract-first APIs.
Data platform expertise: streaming + batch + lakehouse, CDC, orchestration, governance/lineage, schema evolution.
AI systems fluency: LLMs, embeddings, vector stores, RAG; real-time production inference.
Hands-on: Python or TypeScript/Scala; Databricks, Airflow, Kafka, Kubernetes, Terraform; Prometheus/Grafana/Coralogix.
Cloud-first (AWS preferred), security-by-design, crisp writing and collaboration.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8481848
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