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Location: Ramat Gan
Job Type: Full Time
Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams
Requirements:
Strong can-do / builder mindset with real startup DNA (bias toward shipping, not over-process)
Experience leading engineers as a Tech Lead / Engineering Manager / senior technical leader
Deep understanding of production systems and scale
Strong intuition for performance, cost, and reliability tradeoffs
Hands-on backend experience with large-scale systems
Experience with databases such as: Postgres, ClickHouse / Snowflake (or similar OLAP systems), Elasticsearch / OpenSearch
Experience designing distributed systems: Event-driven architectures, Pub/Sub, Queues, Caching layers (Redis or similar)
Practical experience with AI systems: OpenAI / LLM APIs, Embeddings, Semantic search, RAG pipelines
Nice-to-have:
Experience with code indexing or static code analysis
Background in observability platforms
Research-oriented mindset with fast experimentation skills
Experience building knowledge systems or AI agent platforms
This position is open to all candidates.
 
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Location: Bnei Brak
Job Type: Full Time
We are seeking a visionary AI Product Manager to orchestrate the convergence of our diverse AI stack into a cohesive, real-time product.

You will not just manage a feature; you will own the fusion of these technologies. From Generative Video models that render lifelike avatars, to Speech AI engines (ASR/TTS) that handle nuanced voice interaction, to the LLM & RAG layers that provide the brain and context-you will lead the strategy that turns these individual components into a unified, low-latency Face-to-Face conversational engine for the enterprise.



The day-to-day

Strategic Collaboration: Partner closely with the Head of AI and Head of Product to align the generative media roadmap with technical constraints.
Orchestrate the Multi-Model Stack: Define the product vision for a complex architecture-integrating Latent Diffusion for visuals, Transformer-based Speech AI, and LLMs-into a seamless real-time loop optimized for minimal Time-to-First-Token (TTFT).
Advance Video Generation Tech: Spearhead the deployment of diffusion-based video synthesis and neural rendering.
Establish Benchmarks: Set standards for temporal consistency, high-fidelity lip-sync, and dynamic avatar behaviors that meet enterprise bitrate standards.
Optimize the Brain (LLM & RAG): Lead the strategy for our cognitive layer, overseeing Vector Database selection and embedding models for RAG pipelines.
Ensure Accuracy: Ground AI responses in enterprise data, strictly minimizing hallucination rates and optimizing context window usage.
Requirements:
5+ years of experience in product management or a related technical field.
MSc or PhD in a Machine Learning field (or equivalent advanced technical degree).
A visionary capable of managing a holistic multi-model ecosystem where Video Generation, Speech AI, and LLM/RAG architectures intersect.
Ability to balance SOTA research with inference COGS and GPU availability to drive scalable business growth.
Deep understanding of the fusion between Generative Video models, Speech AI engines, and LLM layers.
This position is open to all candidates.
 
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23/02/2026
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:
- 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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23/02/2026
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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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Required Software Engineer - Al Platform
What this role is really about:
You're building our AI platform. The internal system that powers AI capabilities across Product, Customer Success, Sales, Operations, Data, and IT.
This is a full-stack role where you'll own features end-to-end: design React interfaces for AI workflows, build Lambda functions that orchestrate multi-agent processes, integrate with enterprise systems (Salesforce, Workato, Snowflake), and optimize costs and performance at scale. You'll work with cutting-edge AI while building production-grade systems that handle real business operations.
If you want to build something that directly enables business growth, work across the full stack with modern tech, and have ownership over a platform that the entire company depends on, this is your opportunity.
Job responsibilities:
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic process - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimization process -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.
Requirements:
5+ years of hands‑on software engineering experience building production systems at scale.
Strong proficiency in Python, with Practical knowledge of databases.
Strong grounding of LLM/AI application patterns (RAG, tool use, function calling, guardrails) and vendor APIs (OpenAI or similar).
Experience with vector store (pgvector, Pinecone, OpenSearch), feature/semantic layers, or retrieval pipelines
Familiarity with: eval frameworks, prompt/version management, offline/online A/B testing, and cost/latency optimization.
Clear written and verbal communication; able to drive alignment with concise design docs and reviews.
Nice to have:
Experience building developer platforms or internal tooling
Hands-on experience with model optimization, fine-tuning, or distillation techniques.
Deep experience with cloud infrastructure (AWS), containers (Docker, Kubernetes), and distributed systems.
Frontend development frameworks such as React.
Background in SaaS/enterprise environments with compliance requirements (SOC2, GDPR).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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22/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were seeking an experienced and skilled Data and AI Infra Engineer to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
A day in the life and how youll make an impact:
As a Senior Engineer, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.
Requirements:
7+ years of experience in data infra or backend engineering.
Strong knowledge of data services architecture, and ML Ops.
Experience with cloud-based data infrastructure in the cloud, such as AWS, GCP, or Azure.
Deep experience with SQL and NoSQL databases.
Experience with Data Warehouse technologies such as Snowflake and Databricks.
Proficiency in backend programming languages like Python, NodeJS, or an equivalent.
Proven leadership experience, including mentoring engineers and driving technical initiatives.
Strong communication, collaboration, and stakeholder management skills.
Bonus Points:
Experience leading teams working with serverless technologies like AWS Lambda.
Hands-on experience with TypeScript in backend environments.
Familiarity with Large Language Models (LLMs) and AI infrastructure.
Experience building infrastructure for Data Science and Machine Learning.
Experience collaborating with BI developers and analysts to drive business value.
Expertise in administering and managing Databricks clusters.
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.
This position is open to all candidates.
 
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22/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required AI Developer
Who we are:
We are a TLV-based startup thats on a mission to change the work experience for 80% of the worlds global workforce - the deskless employees.
Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business.
About the Role:
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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19/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an AI Engineer to join the hunt.
Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.
Requirements:
At least 3 years experience in Python / TS working with AI/ML frameworks
At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++)
At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector)
Proven experience with writing efficient and useful LLM prompts
Proven experience building LLM-based solutions and integrating them into products
Strong system and architecture design skills, particularly in designing LLM based systems
Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering
Hands-on experience with cloud platforms and their AI/LLM services
Experience working on a SaaS product - Advantage
Experience working with customers and direct customers feedback - Advantage
Experience using observability / profiling / remote debugging tools - Advantage
Passionate about AI and up to date with industry trends - Advantage
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.



Key Responsibilities:

Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation
Requirements:
2+ years of hands-on experience with GenAI tools (OpenAI, Claude, Bedrock, etc.)
Proven ability to build LLM-based solutions without model training
Familiarity with frameworks like LangChain, vector DBs, RAG
Ability to run quick PoCs (via Python, JS, no-code tools, etc.)
Solid understanding of prompt engineering and use-case design
Experience working with product managers or customer-facing teams
Strong communication and problem-solving skills
Background in software, product, AI, or system architecture
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are looking for a hands-on GTM Engineer to help make our Go-to-Market engine smarter, more efficient, and more effective. This role focuses on removing manual and administrative work from GTM teams, enabling humans to focus on strategy, creativity, and decision-making while systems handle execution and scale.

The GTM Engineer designs and operates HubSpot-centered GTM architecture and AI-powered automation that improves speed, accuracy, and scalability across Marketing, Sales, and SDR workflows.

What you will do:
Own day-to-day administration, configuration, and optimization of HubSpot across Marketing and Sales use cases.
Design and maintain GTM system architecture, including data models, lifecycle logic, routing, scoring, and automation frameworks.
Build, operate, and continuously improve AI-powered workflows that reduce manual work and increase GTM velocity.
Implement advanced automation using tools such as Clay, AI agents, and workflow orchestration platforms.
Integrate HubSpot with Salesforce and other GTM systems to ensure reliable data flow and process consistency.
Automate enrichment, qualification, routing, outbound support, and handoff processes across the funnel.
Monitor data quality, automation health, and system performance, proactively identifying and resolving issues.
Document system logic, workflows, and automation patterns to ensure maintainability and scalability.
Continuously experiment with new AI and automation approaches and apply them to practical GTM use cases.
Requirements:
3+ years of hands-on experience in Marketing Ops, RevOps, GTM Operations, or Growth Operations in a B2B SaaS environment.
Strong, practical HubSpot administration experience, including workflows, custom objects, lifecycle design, and complex automation.
Proven ability to design GTM architecture, not just execute isolated automations.
Very strong experience with AI-driven operations and automation, including:
Clay or similar data orchestration platforms.
AI-based enrichment, scoring, routing, or outbound workflows.
Multi-step or agent-based automation setups.
Working knowledge of Salesforce CRM and HubSpot-Salesforce integrations
Familiarity with the broader GTM tech stack such as Zapier or Make, ChiliPiper, enrichment tools, ABM platforms, and Jira.
Strong analytical mindset with the ability to translate GTM problems into scalable technical solutions.
Comfortable working independently in a highly hands-on execution role.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
Were hiring an AI Engineer for our AI Core team to build and scale AI across our products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.

What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.

Location: Herzliya | Hybrid work model.
Requirements:
5+ years of hands-on experience in AI/ML engineering, or data science with strong engineering ownership.
Strong Python and solid software fundamentals with clean, well-tested, production-quality code.
Hands-on experience with GenAI/LLMs: prompt design, embeddings, fine-tuning and RAG patterns; experience building agents is a strong advantage.
Experience with core ML; NLP/CV/multimodal experience is a plus.
Familiarity with modern AI toolkits (e.g., LangChain, Hugging Face, PyTorch).
Cloud experience (AWS/GCP/Azure) and working with scalable data pipelines.
Strong communication and collaboration skills.
BS/MS/PhD degree in CS/Data Science/Engineering (MS/PhD a plus).
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
Were looking for a sharp, creative, and impact-driven GTM AI Developer to join us on a mission to transform how we scale revenue using AI.
If you're a fast learner, deeply familiar with AI tools and automation platforms, and excited by the opportunity to drive sales growth, streamline business operations, and eliminate manual work, this role is for you. Youll create AI-powered solutions across our GTM and Revenue teams (Sales, Marketing, Customer Success, Support) and play a central role in shaping how we work and win.
Responsibilities:
Design and deliver end-to-end AI-driven workflows that increase sales efficiency, automate recurring tasks, and elevate customer management.
Leverage AI Tools and platforms like n8n, LLMs, LangChain, Python and more to ship intelligent, scalable automations.
Design, build, and work with MCPs across multiple systems, including developing custom MCPs to securely connect AI agents with internal and external data sources and business systems
Own, maintain, and continuously improve existing AI agents (e.g., SDR agents, enrichment agents), optimizing their performance, accuracy, and business impact over time
Independently drive projects from discovery through execution, including designing, building, and deploying
Partner with business stakeholders across Sales, Marketing, RevOps, Customer success and support to deeply understand operational pain points and business needs and opportunities, and craft practical AI solutions.
Drive AI adoption, including onboarding teams to new AI tools, iterating based on feedback, and continuously improving usage and outcomes
Collaborate with peers from the business applications and data teams to provide impactful, data-driven operational solutions
Explore and test new AI capabilities and translate them into valuable use cases for the business.
Requirements:
Extensive hands-on experience in Business Applications and/or software development
Experience building end-to-end AI solutions and automations
Deep understanding of business processes and a drive to impact business results
Experience with AI platforms (e.g., OpenAI, Claude, Gemini) and automation/orchestration tools (e.g., n8n, Make.com, LangChain)
Development capabilities, preferably in Python
Hands-on experience designing and consuming REST APIs, working with HTTP methods, authentication mechanisms, and integrating GTM platforms into AI-driven workflows.
High degree of independence and initiative - able to run projects autonomously
Sharp analytical skills and a structured problem-solving mindset
Excellent written and verbal communication skills; able to bridge technical and non-technical stakeholders
Passion for continuous learning, experimentation, and staying current with AI trends
Experience working with GTM or RevOps teams in a SAAS company - a big advantage
Experience with Salesforce - a big advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8551609
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.
Requirements:
What youll need:
Excellent coding skills in Python/TypeScript, with at least 5 years of hands-on experience building reliable backend services, agents and tooling. Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) is a strong advantage.
Experience designing, deploying, and maintaining production systems that integrate ML components, including APIs, microservices, model serving layers, feature pipelines, monitoring, and CI/CD/MLOps workflows.
Solid experience with AI related contexts Understanding of prompt engineering and LLM optimization techniques, RAG architecture
Solid understanding of distributed systems concepts, performance optimization, observability, and operating services at scale.
Strong communication skills, with the ability to bridge technical, product, and business perspectives.
Prior experience in cybersecurity, fraud prevention, or identity management is a plus, especially with secure system architectures or ML-augmented decisioning systems.
Advantages:
Experience integrating with LLM APIs (OpenAI, Anthropic Claude, etc.)
Experience with agent frameworks (LangChain, LlamaIndex, AutoGPT)
Background in ML/AI concepts and model deployment
Experience with message queues (RabbitMQ, Kafka) and event-driven architectures
Experience with function calling and tool use patterns in LLMs.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8550284
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Location: Herzliya
Job Type: Full Time
You will be responsible for building next generation AI Agents, Tools & services for analyzing Connectivity/Cellular functional & performance issues for future Apple product lines, with emphasis on improving the overall user experience in terms of performance. You will have the opportunity to make a significant, organization-wide impact by tackling and resolving complex technical challenges that shape the future of automated analysis of SW bugs from various wireless technologies at Apple using advanced AIML tools. Development of advanced system evaluation and debugging capabilities is required on an as needed basis. As part of this team, you will impact iPhone, iPad & Mac user experience worldwide.
Requirements:
Minimum Qualifications
Master's in Computer Science (or related fields) or equivalent experience
Minimum 1 year hands-on experience using LLMs, ML, and other GenAI technologies to solve real problems at scale.
End-to-End Expertise with advanced GenAI techniques such as RAG (Graph/Hierarchical/etc), Agent Orchestration, Context Management, Prompt Engineering.
Solid understanding of shipping GenAI projects to production, including expertise with evaluation, optimization, and AI guardrails.
Deep proficiency with building resilient software in Python (4 years experience), including data analysis (Pandas/Polars), scripting, interfacing with APIs, concurrency.
Good understanding in one of WiFi, Bluetooth, Thread or related protocols
Excellent analytical and debugging skills
Effective communication skills, particularly with technical content
Highly organized, creative, self-motivated and passionate about achieving results.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8548473
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15/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.
Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.
This position is open to all candidates.
 
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