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קרול יועצים
דרושים בקרול יועצים
Location: Tel Aviv-Yafo
Job Type: Full Time
Senior AI Software Architect
We seek an experienced Senior AI Software Architect with strong leadership skills and hands-on expertise in designing AI solutions, especially Large Language Models (LLMs). This role combines strategic vision with practical execution to drive impact across product and engineering teams.

Key Responsibilities:

Architect and develop AI-based LLM applications for the Israeli education system

Convert existing apps into AI-powered solutions

Build and implement agent-based AI systems aligned with business needs

Establish best practices and tools for testing AI solutions with high Quality Assurance standards
Requirements:
Technical Expertise:

Proven experience in development languages: Python,.NET C #, JavaScript, TypeScript.

Proven experience with tools and frameworks: Azure OpenAI, OpenAI, Claude AI, Gemini AI, RAG tools, LangChain, LangGraph.

Experience with relational and non-relational databases such as SQL, MySQL, MongoDB, and vector databases like Pinecone.

Experience:

At least 3+ years in the role of a Software Architect.

At least 1+ years in developing and/or designing AI applications.

Management and Leadership:

Strong management skills with a hands-on approach.

Excellent problem-solving skills and the ability to think critically.

Proven ability to lead and mentor technical teams.


This position is open to all candidates
This position is open to all candidates.
 
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2 ימים
ריקרוטיקס בע"מ
דרושים בריקרוטיקס בע"מ
Job Type: Full Time and Hybrid work
A pioneering cyber company driving AI and automation in cybersecurity is looking for LLM Engineer to join the innovative team and contribute to the advancement of our security copilot.
As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

In this role, you will:
- Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
- Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
- Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
- Explore and implement novel applications of AI to enhance company's automation capabilities and User Experience.
Requirements:
- 4+ years of experience in software development, with strong proficiency in developing LLM-based applications.
- Expertise in developing cloud based applications and distributed systems.
- Strong analytical and problem-solving skills to navigate the complexities of AI and LLM integration.
- Familiarity with a variety of AI models, including but not limited to large language models, and an understanding of their capabilities in tasks such as text generation, code completion, and more - An advantage.
- Experience with prompt engineering techniques to achieve desired outputs from LLMs - An advantage
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
Were looking for a hands-on AI Architect to join our companys Platform infrastructure (Gen AI applications team) where you'll have the unique opportunity to collaborate with our companys strategic technical leadership and the development of next-generation technologies for modern software release management, driving the industry forward.
As an AI Architect at our company you will.
Design, develop, and implement various ML and AI-based solutions to address business needs and objectives
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI solutions
Explore and experiment with novel ML and AI techniques and architectures to drive innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Influence the AI priorities of the company. Your decisions will shape our future direction in AI, and have a significant impact on our companys AI initiatives.
Requirements:
A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in developing LLM-based application architectures
Proficiency in ML along with relevant tools, processes, and frameworks, such as TensorFlow, PyTorch, Keras, natural language processing (NLP), and reinforcement learning from human feedback (RLHF)
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Strong communication skills and the ability to collaborate effectively in a team.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.
Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
4+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.
Why Join Us?
This role is for builders, problem-solvers, and AI enthusiasts who want to push the boundaries of engineering productivity with AI. Youll be at the forefront of AI-powered platform engineering, shaping how our company leverages AI to supercharge innovation, efficiency, and automation.
If youre looking to build game-changing AI platforms, experiment with cutting-edge tech, and make a real impactjoin us!
This position is open to all candidates.
 
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3 ימים
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.
Requirements:
8+ years of experience in data engineering, software engineering, or MLOps, with hands-on leadership in designing modern data platforms and distributed systems.
Proven experience implementing GenAI applications or infrastructure (e.g., building RAG pipelines, vector search, or custom LLM integrations).
Deep understanding of big data technologies (Kafka, Spark, Iceberg, Presto, Airflow) and cloud-native data stacks (e.g., AWS, GCP, or Azure).
Proficiency in Python and experience with GenAI frameworks like LangChain, LlamaIndex, or similar.
Familiarity with modern ML toolchains and model lifecycle management (e.g., MLflow, SageMaker, Vertex AI).
Experience deploying scalable and secure AI solutions with proper attention to privacy, hallucination risk, cost management, and model drift.
Ability to operate in ambiguity, lead complex projects across functions, and translate abstract goals into deliverable solutions.
Excellent communication and collaboration skills, with a passion for pushing boundaries in both data and AI domains.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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17/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

provides a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities
Design, build, and deploy generative AI-powered features across our product.
Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs
Prototype and validate new AI use cases quickly and iterate based on internal and external feedback
Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production
Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).
Live in the future and track new innovations and paradigms in this fast-evolving field, and identify opportunities to integrate them into the product
Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs
Optimize model performance, inference time, and cost efficiency within AWS infrastructure
Requirements:
3+ years of hands-on experience in software engineering, with at least 12 years working on generative AI projects (LLMs, diffusion models, multimodal models, etc.)
Proven ability to go from idea to productionideally with examples of real-world AI features youve shipped
Fluency in Python, Node.js, or similar languages used in ML and full-stack development
Experience with prompt engineering, fine-tuning, or embedding models using frameworks like LangChain, LlamaIndex, or similar
Familiarity with AWS services and best practices, including Lambda, S3, SageMaker, ECS/EKS, Bedrock etc.
Experience with MLOps and model deployment practices (e.g., containerization, GPU inference, vector databases)
Creativity and initiativeable to pitch and prototype ideas with minimal oversight
Strong communication skills and the ability to explain technical concepts to non-technical stakeholders
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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19/06/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with our US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.
Requirements:
Minimum of 5 years of experience as a Back End developer.
Deep knowledge of Generative AI principles, including Large Language Models (LLMs) and RAG techniques and, modern deployment architectures.
Ability to lead team to design services, modules, APIs, and folder structures that enable REST API communication and facilitate a plug-and-play approach for various agent pods (compatible with langgraph, pydanticAI, etc.)
Practical Implementation: Hands-on experience in implementing and integrating new ideas and tools within the GenAI landscape.
Programming and Tools: Proficiency with Python, PySpark, Langchain, LlamaIndex, RAG, ChromaDB, QDrant, Weaviate, Neo4j, Knowledge Graphs, AWS Bedrock, GCP Vertex, Azure OpenAI, Git/GitHub, Docker, SQL, FastAPI, PyTorch/TensorFlow, and Pydantic.
Cloud Platforms: Experience with managed cloud services provided by hyperscalers such as AWS, Azure, or GCP.
Excellent problem-solving and analytical skills. Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field.
Advanced level of English.
Working Israeli permit- a must
B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc- an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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19/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an exceptional Head of AI to lead our innovative AI group in developing AI-driven insights and generative AI chat applications.
In this role, you will manage a team of AI experts and Software Engineers, driving transformative projects using advanced generative AI technologies and conducting cutting-edge machine learning research. The ideal candidate will bring strong technical expertise, proven leadership experience, and a solid background in developing impactful AI solutions in a collaborative, innovative environment.
Your Day-to-Day
Design and develop an autonomous banker (AI agent) using Python and Generative AI frameworks.
Implement and maintain scalable microservices architectures for AI applications.
Develop and optimize prompts and models for various AI use cases.
Requirements:
Proven experience with Generative AI models, including software libraries and frameworks.
Strong prompt engineering and optimization skills.
3+ years of experience in software development (preferably with Python).
Experience with evaluation testing.
Knowledge of AI agent architectures, RAG, Judge models, and related technologies.
Experience in data science, including deep learning and classical models.
NLP experience.
Machine learning engineering expertise.
Passion for staying up to date with Generative AI advancements.
Experience with Docker and Kubernetes.
Advantages
Experience with cloud-based AI solutions.
Familiarity with MLOps practices and deployment pipelines.
Strong analytical and problem-solving skills.
Prior experience in the financial sector or fintech-related AI applications.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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08/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team. We are looking for a Data & AI Architect.
Responsibilities:
Build the foundations of modern data architecture, supporting real-time, high-scale (Big Data) sports data pipelines and ML/AI use cases, including Generative AI.
Map the companys data needs and lead the selection and implementation of key technologies across the stack: data lakes (e.g., Iceberg), databases, ETL/ELT tools, orchestrators, data quality and observability frameworks, and statistical/ML tools.
Design and build a cloud-native, cost-efficient, and scalable data infrastructure from scratch, capable of supporting rapid growth, high concurrency, and low-latency SLAs (e.g., 1-second delivery).
Lead design reviews and provide architectural guidance for all data solutions, including data engineering, analytics, and ML/data science workflows.
Set high standards for data quality, integrity, and observability. Design and implement processes and tools to monitor and proactively address issues like missing events, data delays, or integrity failures.
Collaborate cross-functionally with other architects, R&D, product, and innovation teams to ensure alignment between infrastructure, product goals, and real-world constraints.
Mentor engineers and promote best practices around data modeling, storage, streaming, and observability.
Stay up-to-date with industry trends, evaluate emerging data technologies, and lead POCs to assess new tools and frameworks especially in the domains of Big Data architecture, ML infrastructure, and Generative AI platforms.
Requirements:
At least 10 years of experience in a data engineering role, including 2+ years as a data & AI architect with ownership over company-wide architecture decisions.
Proven experience designing and implementing large-scale, Big Data infrastructure from scratch in a cloud-native environment (GCP preferred).
Excellent proficiency in data modeling, including conceptual, logical, and physical modeling for both analytical and real-time use cases.
Strong hands-on experience with:
Data lake and/or warehouse technologies, with Apache Iceberg experience required (e.g., Iceberg, Delta Lake, BigQuery, ClickHouse)
ETL/ELT frameworks and orchestrators (e.g., Airflow, dbt, Dagster)
Real-time streaming technologies (e.g., Kafka, Pub/Sub)
Data observability and quality monitoring solutions
Excellent proficiency in SQL, and in either Python or JavaScript.
Experience designing efficient data extraction and ingestion processes from multiple sources and handling large-scale, high-volume datasets.
Demonstrated ability to build and maintain infrastructure optimized for performance, uptime, and cost, with awareness of AI/ML infrastructure requirements.
Experience working with ML pipelines and AI-enabled data workflows, including support for Generative AI initiatives (e.g., content generation, vector search, model training pipelines) or strong motivation to learn and lead in this space.
Excellent communication skills in English, with the ability to clearly document and explain architectural decisions to technical and non-technical audiences.
Fast learner with strong multitasking abilities; capable of managing several cross-functional initiatives simultaneously.
Willingness to work on-site in Ashkelon once a week.
Advantage:
Experience leading POCs and tool selection processes.
Familiarity with Databricks, LLM pipelines, or vector databases is a strong plus.
This position is open to all candidates.
 
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1 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Join our AI & Innovation group as an AI Software Developer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.
Our group is building an ambitious, AI-powered product at the heart of our companys strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.
If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.
Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment.
Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage.
This position is open to all candidates.
 
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