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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 אינטרנט ודיגיטל

תל אביב - יפו

חברה בתחום אינטרנט ודיגיטל

תל אביב - יפו
מלאה
25,000-35,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

We're looking for an experienced xEngineer with a backend orientation to join the User Voice team.
User Voice is the platform that lets our company hear its users at scale. It ingests feedback from millions of user interactions and transforms it into actionable insights through a multi-stage AI pipeline - combining natural language understanding, semantic representation and retrieval, and large-scale unsupervised clustering. The platform is expanding rapidly - onboarding new feedback channels and new types of user signals - and you'll be a driving force in shaping the backend architecture behind that growth, powering the insights that shape product roadmaps across our company.
In your day-to-day, you will:
Design and evolve the platform's backend together with the team - a large-scale, event-driven microservices system processing feedback in real time and in batch
Lead the expansion to new feedback channels and new types of insight, shaping how each one is brought into the platform reliably and at quality
Build and improve the AI pipeline stages that turn raw feedback into structured, trustworthy insights - from LLM-based information extraction to semantic clustering
Help establish evaluation as part of how the team ships - automated quality measurement, regression evaluation on model and prompt changes, and readiness criteria for new feedback channels
Collaborate with data engineering, data science, and product to take capabilities from idea to production
Treat reliability, scalability, and cost as core features of the platform.

Requirements:
5+ years of software engineering experience with a strong backend orientation - designing and owning distributed, event-driven systems at scale
Hands-on experience building LLM-based systems in production - extraction pipelines, structured outputs, prompt and model lifecycle - and dealing with their real-world failure modes: quality, cost, and latency
Strong prompt engineering skills - designing, iterating, and versioning prompts for reliable, structured results at scale
Experience evaluating AI systems - defining quality metrics, building evaluation datasets, benchmarking and selecting models per task, and validating changes before they ship
Working understanding of applied ML in production - embeddings, vector search, and clustering algorithms
Solid grasp of large-scale data processing: pipelines, backfills, reprocessing, and warehouse-scale SQL
Nice to have
JVM-language experience (Scala, Java, or Kotlin) and solid Python
Experience with vector search engines or RAG architectures
Background in voice-of-customer, feedback analytics, or similar insight products.

This position is open to all candidates.