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.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
28,000-40,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
זוהי הערכת טווח שכר מבוססת AI ולא שכר שהתקבל מהמעסיק

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly skilled engineer who can design and deliver scalable backend services, craft intuitive frontend features, integrate AI-driven capabilities, and help architect robust systems that power the next generation of intelligent financial tools. This role is ideal for a proactive, collaborative developer who thrives in a high-impact environment and enjoys solving complex engineering challenges.
Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth.
Build frontend features with modern frameworks (e.g., React) and deliver intuitive, user-centric interfaces aligned with business and product goals.
Integrate Large Language Models (LLMs) into core systems using prompt engineering techniques to enhance AI-driven capabilities.
Drive technical design discussions and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.

Requirements:
8+ years of professional experience building production-grade backend and frontend systems.
Strong backend and system architecture expertise, including APIs, background jobs, data pipelines, database modeling (SQL/NoSQL), indexing, and performance tuning (e.g., Python).
Solid experience building modern frontend applications using component-based frameworks (e.g., React, Vue) with strong UX thinking.
Experience integrating AI and LLMs into applications, including prompt engineering and context/data pipeline management.
Proficiency in cloud-native technologies, including AWS, GCP, Azure, and Kubernetes.
Strong engineering fundamentals and collaboration skills, with a solid grasp of algorithms and data trade-offs, a commitment to clean and testable code, and excellent communication skills.

This position is open to all candidates.