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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an AI Engineer with backend development experience to help design and scale our next-generation multi-agent systems.
This role requires strong deep understanding of how AI agents, LLMs, and protocols operate internally.
You will contribute to building a multi-agent platform and orchestration pipelines across GCP (Vertex AI, ADK, BigQuery, Cloud Run, Dataflow) and AWS, focusing on scalability, reliability, and evaluation.
What youll do:
Multi-Agent Systems Work with MCP & A2A protocols, implement agent discovery, registries, orchestration engines, and evaluation frameworks.
LLM Operations Apply embeddings, prompting, retrieval (RAG), fine-tuning, and optimize agentLLM integration.
Backend Development Build microservices (Python/Go) on Cloud Run / agents engine / Kubernetes, design APIs, and support distributed execution.
CI/CD & Airflow Contribute to pipelines for agents and workflows, with monitoring, rollback, and governance.
Agent Evaluation Help define and run metrics for agent performance, safety, and lifecycle management.
Requirements:
35 years of software engineering experience.
Hands-on experience building AI agents or multi-agent workflows.
Understanding of MCP & A2A protocols.
Proficiency in Python, containerization.
Exposure to LLMs (prompting, embeddings, RAG, fine-tuning).
Familiarity with CI/CD pipelines and Airflow (or similar).
Cloud experience (GCP preferred).
Bonus points
DevOps experience (IaC, observability, automation).
Data engineering (ETL, Spark, or similar).
Contributions to open-source AI/agent frameworks.
Recommended by an employee.
This position is open to all candidates.
 
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לפני 5 שעות
Sela
Location: Herzliya and Ra'anana
Job Type: Full Time and May Be Suitable For Moms
Were looking for a hands-on developer whos truly immersed in AI building custom chats, creating intelligent agents, and integrating with APIs. This is a role that requires sharp judgment, creativity, and a passion for exploring one of the most exciting and fast-growing fields out there.
Role Summary:

Develop and implement custom chat solutions using knowledge files and APIs.
Combine prompt engineering techniques with real-time integrations from reliable data sources.
Responsibilities:

Build tailored chat experiences around specific use cases.
Integrate models with trusted external APIs.
Design and validate Function/Tool Calling workflows.
Write prompts and output templates to reduce hallucinations.
Plan and implement guardrails and security measures.
Conduct A/B testing, regression testing, and ongoing monitoring.
Document processes and provide training to teams.
Requirements:
2+ years of software development experience.
Proficiency in JavaScript/TypeScript and at least one other major language (Python/Java).
Experience building chat solutions with LLMs (Custom GPTs / Assistants).
End-to-end API integration experience.
Strong understanding of prompt engineering patterns.
Hands-on experience with at least one model provider (OpenAI, Anthropic, Google, Cohere, etc.).
Working with real-time data from APIs.
Nice to Have:

Experience with GPT Actions / Assistants API.
Knowledge of OAuth2/OIDC and API security best practices.
Experience implementing guardrails and content filtering.
Writing automated tests for answer quality.
Cloud and serverless experience.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for a Senior AI Engineer to join our team and help build cutting-edge solutions at the intersection of Generative AI, traditional Machine Learning, and software engineering. This is an exciting opportunity to work on transformative projects that shape the future of intelligent systems.
What Youll Do:
Design, develop and deploy Generative AI systems, including LLM-based pipelines, multi-agent systems, and retrieval-augmented generation (RAG).
Design, develop and deploy Generative AI and ML pipelines for tasks like classification, clustering, ranking, and recommendation.
Lead experiments and evaluate models using appropriate benchmarks and metrics.
Collaborate cross-functionally with product and other R&D teams to bring intelligent features into real-world applications.
Write clean, efficient, and well-tested Python code to support experimentation, training, and production use.
Contribute to engineering best practices and knowledge sharing.
Requirements:
5+ years of experience in AI/ML engineering.
3+ years in Python with strong software engineering principles.
Solid foundation in data structures, algorithms, and design patterns.
Hands-on experience with LLMs, vector search, embeddings, and modern Gen AI workflows.
Familiarity with cloud platforms (AWS, GCP, Azure) and modern AI toolkits (LangChain, LangGraph, etc.) is a plus.
Strong communication and collaboration skills.
Nice to have
Experience with multi-agent systems, RAG pipelines, or knowledge graphs.
Experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
Exposure to DevOps/MLOps and continuous model delivery.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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26/08/2025
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on:
Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.
Requirements:
Deep understanding and hands-on experience with data lake architecture, real-time and batch processing.
Familiarity with tools like Spark, Kafka, Databricks, and SQL.
Experience designing systems powered by LLMs (e.g., OpenAI, Anthropic).
Skilled in Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, and LLM orchestration frameworks (e.g., , LangGraph, OpenAI Agents SDK).
Understanding of multi-agent design, memory, tool-use orchestration, and autonomous reasoning agents.
3+ years of Python development experience in production environments.
Proficiency with Git, CI/CD practices, and deploying data/ML pipelines at scale.
Experience maintaining scalable, reliable ML/AI workflows in cloud-native environments.
Background in cybersecurity, threat intelligence, or exposure to security-focused data models - advantage
Strong grasp of non-functional requirements: performance, reliability, scalability, observability. And awareness of COGS optimization and FinOps practices in SaaS data systems - advantage
This position is open to all candidates.
 
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