10 дней назад
Backend Engineer - AI Team - Paradox (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Backend Engineer - AI Team - Paradox (AI): Building production-grade backend services, APIs, and infrastructure that bring LLM-powered products to life at scale with an accent on performance, reliability, observability, and AI model evaluation. Focus on designing distributed systems, integrating LLM-based products, and developing resilient architectures for real-world production flows.
Location: Tel Aviv, Israel; hybrid work with three days in the office and two days at home.
Company
is a Fortune 500 company and AI platform for managing people, money, and intelligent agents; the Paradox team builds conversational AI products for hiring.
What you will do
- Design and implement high-performance backend services and APIs for core AI products.
- Build scalable, resilient infrastructure that integrates LLM capabilities into production systems.
- Bridge AI research and production software by improving latency, reliability, and observability.
- Design LLM evaluation frameworks for assessing and integrating new models into production flows.
- Drive engineering quality through architecture, code reviews, distributed-systems practices, and product-focused decisions.
Requirements
- 3+ years of hands-on backend software development experience with complex distributed systems.
- Strong Python, modern backend technology, and API design skills.
- Production experience developing LLM-based products such as agents or RAG systems.
- Experience with system architecture, AWS or GCP, and CI/CD workflows.
- Knowledge of relational and non-relational databases, automated testing, and Clean Code principles.
- Fluent English and authorization to work in Israel are required.
Nice to have
- Experience with vector databases, LLM observability tools, conversational AI, or dialogue management.
- Familiarity with MLOps and monitoring LLM performance in production.
- Background in data science or data engineering.
Culture & Benefits
- Hybrid work model combining in-person collaboration with remote work.
- Flexible scheduling aligned with business, team, and personal needs.
- Support for reasonable accommodations during the application and employment process.
- Work in a large-scale AI organization focused on next-generation hiring technology.
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