4 дня назад
Senior Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (AI): Architecting and building production backend systems and high-scale services that bring LLMs to life in Paradox’s conversational AI products with an accent on performance, reliability, observability, and API design. Focus on developing LLM evaluation frameworks, integrating AI research into production systems, and designing distributed architectures for large-scale deployment.
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 agents; Paradox is its conversational AI product organization.
What you will do
- Design and implement high-performance backend services and APIs for core AI products.
- Build scalable, resilient production infrastructure that integrates LLM capabilities into backend architectures.
- Connect AI research with production software, focusing on latency, reliability, and observability.
- Establish engineering standards through architecture design, code reviews, and distributed-systems best practices.
- Develop LLM evaluation frameworks for assessing and integrating new AI models into production workflows.
- Understand product challenges and make efficient software architecture and development decisions.
Requirements
- 6+ years of hands-on backend software development experience building complex distributed systems.
- Strong expertise in Python, modern backend technologies, and API design.
- Production experience developing LLM-based products, including agents or RAG systems.
- System architecture experience in cloud environments such as AWS or GCP, including CI/CD workflows.
- Deep knowledge of relational and non-relational databases, automated testing, and Clean Code principles.
- Technical leadership experience, including design leadership, cross-team collaboration, mentoring, fluent English, and authorization to work in Israel.
Nice to have
- Experience with vector databases and LLM observability tools.
- Conversational AI or dialogue management experience.
- 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.
- Three office days and two home-working days each week.
- Support for professional growth, skills development, and long-term career development.
- Reasonable accommodations are available during the application process.
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