4 days ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Design and evolve a large-scale, event-driven backend microservices platform that processes feedback in real time and in batch.
- Lead the expansion to new feedback channels and user-signal types with a focus on reliability and quality.
- Build and improve AI pipeline stages, including LLM-based information extraction and semantic clustering.
- Establish automated quality measurement, regression evaluation, and readiness criteria for model, prompt, and channel changes.
- Collaborate with data engineering, data science, and product teams to move capabilities from idea to production.
- Treat platform reliability, scalability, and cost as core features.
Requirements
- 5+ years of software engineering experience with a strong backend orientation and experience owning distributed, event-driven systems at scale.
- Hands-on production experience building LLM-based extraction pipelines with structured outputs and managing quality, cost, latency, and model and prompt lifecycles.
- Strong prompt engineering skills, including designing, iterating, and versioning prompts for reliable structured results.
- Experience defining AI quality metrics, building evaluation datasets, benchmarking and selecting models, and validating changes before release.
- Working knowledge of applied machine learning in production, including embeddings, vector search, and clustering algorithms.
- Experience with large-scale data processing, including pipelines, backfills, reprocessing, and warehouse-scale SQL.
- Preferred: experience with Scala, Java, Kotlin, and Python; vector search engines or RAG architectures; and voice-of-customer or feedback analytics products.
Benefits
- The position is based in Tel Aviv.
- Work alongside experienced engineers with meaningful influence over platform architecture and product roadmaps.
About Wix.com
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