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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
30,000-45,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

As a Senior Backend Engineer, you will be responsible for architecting and building the production systems that bring LLMs to life at scale. You will lead the design and development of 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 Paradoxs 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.

Requirements:
Basic Qualifications:

6+ 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.

Strong System Architecture design skills, with experience in cloud-based environments (AWS/GCP) and CI/CD flows.

Database Mastery: Deep 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.

Technical Leadership: Proven ability to lead technical designs, collaborate across teams, and mentor junior engineers.

Fluent in English, including both written and verbal communication.

Authorization to work in Israel.

Other Qualifications:

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.

This position is open to all candidates.