Senior Full Stack Engineer

Навыки

• API (интеграции)
• Data Quality
• Отладка и поиск ошибок
• LLM
• Мониторинг и observability
• Ответственность за результат
• PostgreSQL

Задачи

• Description

Требования

• MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe

Условия

• English courses and professional growth opportunities, as well as team-building events
• Why choose us?
• MWDN is ranked among the top 5 IT employers in our region according to DOU
• We take pride in our transparency and strong commitment to our team
• Curious to learn more?
• See what our employees say about working with us on DOU
• What is your new project?
• Domain: Venture Capital and Private Equity Principals
• Client Location: Israel
• Company size: 10-50
• Founded in: 2016
• What makes this project exciting?
• We’re looking for a senior engineer who can build AI native products on top of reliable, secure, high quality data systems
• Someone who has experience shipping production level software for high trust workflows, understands data pipelines and data quality deeply, can deploy safe agentic systems, and knows how to design robust architecture that scales
• This role is for someone who has shipped production software at scale, understands data pipelines and data quality deeply, and knows how to deploy AI systems that are useful, observable, and safe
• You’ll work across the full stack: data ingestion, transformation, storage, APIs, product surfaces, AI workflows, agentic systems, and observability
• What makes you a great fit
• You have strong production engineering judgment and can move quickly without compromising reliability, data integrity, and security
• 8+ years building production software
• Strong experience with TypeScript, React, SQL
• Deep backend architecture, API, data modeling, and production debugging skills
• Significant experience with data pipelines, integrations, or data-heavy systems
• Experience building systems that handle sensitive, regulated, and high trust data
• Production experience shipping robust AI/LLM-powered features
• Strong understanding of evals, hallucinations, malformed outputs, retrieval quality, latency, cost, model drift, and provider risk

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