Backend Engineer - AI Team - Paradox

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

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.

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