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.
מלאה
30,000-45,000 ₪
We are looking for an engineer who can take ownership of a solution from understanding the business problem through production delivery and continuous improvement.
AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.
You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.
You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.
What youll do:
Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec
Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week
Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics
Build the evaluation harness before you ship - if you cant measure it, its not done
Own production from day one - monitoring, alerting, observability; youre on call for what you build
Raise the bar - in design reviews, in code, and in how the team works
AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.
You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.
You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.
What youll do:
Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec
Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week
Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics
Build the evaluation harness before you ship - if you cant measure it, its not done
Own production from day one - monitoring, alerting, observability; youre on call for what you build
Raise the bar - in design reviews, in code, and in how the team works
Requirements:
At least 7 years of experience as a backend engineer
Experience shipping production AI systems - running them in the real world and fixing what breaks, not just building them
Understanding of agentic architectures - orchestration, multi-step workflows, fallback and error logic
Strong eval instincts - you define metrics, build test sets, and dont ship until you can measure
Full-stack range - comfortable across the prompt, RAG pipeline, orchestrator, and backend
Comfortable across any stack - you go where the right solution is
Honest communication - you flag problems early and give direct, candid feedback
You understand production concerns such as reliability, maintainability, security, observability, latency, and cost.
AI fluency
Real fluency with AI coding tools - genuinely fast, not just "familiar with"
Think in workflows, not endpoints - agentic loops, skills, and orchestrated flows; CRUD with an LLM bolted on isnt a system
Clear judgment about when to trust AI output and when to rewrite it
Goes beyond using AI - builds skills, workflows, and harnesses, not just prompts
You understand common AI-system risks such as hallucinations, prompt injection, data leakage, unreliable tool execution, and uncontrolled autonomy.
Good to have :
Fintech or regulated-environment experience - understanding why "probably fine" isnt acceptable when money is moving
At least 7 years of experience as a backend engineer
Experience shipping production AI systems - running them in the real world and fixing what breaks, not just building them
Understanding of agentic architectures - orchestration, multi-step workflows, fallback and error logic
Strong eval instincts - you define metrics, build test sets, and dont ship until you can measure
Full-stack range - comfortable across the prompt, RAG pipeline, orchestrator, and backend
Comfortable across any stack - you go where the right solution is
Honest communication - you flag problems early and give direct, candid feedback
You understand production concerns such as reliability, maintainability, security, observability, latency, and cost.
AI fluency
Real fluency with AI coding tools - genuinely fast, not just "familiar with"
Think in workflows, not endpoints - agentic loops, skills, and orchestrated flows; CRUD with an LLM bolted on isnt a system
Clear judgment about when to trust AI output and when to rewrite it
Goes beyond using AI - builds skills, workflows, and harnesses, not just prompts
You understand common AI-system risks such as hallucinations, prompt injection, data leakage, unreliable tool execution, and uncontrolled autonomy.
Good to have :
Fintech or regulated-environment experience - understanding why "probably fine" isnt acceptable when money is moving
This position is open to all candidates.
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.
