עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
What youll work on
Data Infrastructure & EngineeringDesign, build, and scale production-grade data pipelines using Databricks, Spark, and modern cloud-nativetechnologies. Ensure high standards of data integrity, system performance, reliability, and scalability.
Core Backend & PlatformDesign and contribute to scalable backend services and platform capabilities using microservices andevent-driven architectures. Build reliable APIs, integrations, and asynchronous data flows that support highscale AI, data, and cybersecurity use cases.
LLM & Agentic SystemsDesign, prototype, and integrate LLM-powered systems, including Retrieval-Augmented Generationpipelines, agentic workflows, tool-using agents, multi-step reasoning flows, and AI-driven automation. Workwith technologies such as AWS Bedrock, OpenAI, Anthropic, LangGraph, vector databases, and modernorchestration frameworks.
AI-Assisted Engineering & Developer ProductivityExplore and apply advanced AI coding assistants and software-engineering agents, such as Codex andClaude Code, to improve development velocity, code quality, debugging, testing, and experimentation.Build proof-of-concepts and internal tools that help engineering and research teams work more effectivelywith AI-powered development workflows.
Intelligent Cybersecurity FeaturesCollaborate with Security Researchers, Engineers, and Product teams to identify opportunities forintelligent, data-driven features that deliver actionable cybersecurity insights to customers. Transformcomplex cybersecurity and platform data into reliable, explainable, and useful AI-powered capabilities.
Deep understanding and hands-on experience with data lake architectures, batch processing, andreal-time data processing.
Experience with tools and technologies such as Spark, Kafka, Databricks, and SQL.
Hands-on experience designing and building LLM-powered systems using providers such as OpenAI,Anthropic, AWS Bedrock, or similar platforms.
Strong practical experience with Retrieval-Augmented Generation, embeddings, vector databases,prompt engineering, evaluation techniques, and LLM orchestration frameworks such as LangGraphor OpenAI Agents SDK.
Understanding of agentic system design, including tool use, memory, planning, multi-agentcollaboration, and autonomous reasoning workflows.
Experience working with advanced AI code assistants and coding agents, such as Codex, ClaudeCode, or similar AI-native development tools, to improve engineering productivity.
3+ years of Python development experience in production environments.Proficiency with Git, CI/CD practices, and deploying data, automation, or AI-powered pipelines atscale.
Experience maintaining scalable, reliable AI/LLM workflows in cloud-native environments.
Strong understanding of non-functional requirements, including performance, reliability, scalability,observability, security, and cost efficiency.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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