Backend Engineer - AI Team - Paradox
Indexed description
About The Team
At Paradox, we believe when you get the people thing right, you can build teams that change the world. As part of Workday, we are laser-focused on building world-class products—backed by a decade of leadership in Conversational AI.
Our Tel-Aviv R&D center is where deep experience meets next-generation technology. We aren't just experimenting with Large Language Models, we are deploying them at an unmatched global scale. We combine our historical data advantage with advanced LLM capabilities to directly influence the hiring experiences of millions of candidates worldwide.
Sound like your perfect fit? We want to hear from you!
About The Role
As a Backend AI Engineer, you will be responsible for architecting and building the production systems that bring LLMs to life at scale. You will Implement robust infrastructure and high-scale services, ensuring our AI capabilities are integrated into scalable, resilient, and performant backend architectures.
In this role, you will:
- Design and implement high-performance backend services and APIs that power Paradox’s core AI products.
- Bridge the gap between AI research and production-grade software, focusing on latency, reliability, and observability.
- Promote engineering standards through rigorous code reviews, architectural design, and best practices in distributed systems.
- Design and implement LLM evaluation frameworks to assess and integrate new AI models into real-world production flows.
- Deeply understand product challenges to make intelligent and efficient software-building decisions.
- 3+ years of hands-on experience in backend software development, focusing on building complex, distributed systems.
- Proven Expertise in Python and modern backend technologies/API design.
- Direct experience in developing LLM-based products (Agents, RAG, etc.) within production environments.
- System Architecture design skills, with experience in cloud-based environments (AWS/GCP) and CI/CD flows.
- Database Experience: knowledge of both relational and non-relational databases.
- Engineering Quality: Strong understanding of automated testing at all levels of the testing pyramid and Clean Code principles.
- Fluent in English, including both written and verbal communication.
- Authorization to work in Israel.
- Experience with specialized AI infrastructure (Vector Databases, LLM Observability tools).
- Experience with Conversational AI or complex Dialogue Management systems.
- Familiarity with MLOps practices and monitoring LLM performance in production.
- Background in Data Science or Data Engineering.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.
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