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LLM Engineer (AI)

Gotfriendsמחוז תל אביב, ישראללא צויןFull-timeדרגה: לא צוין

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תיאור המשרה המלא

המשרה המקורית · נשמר לעיון

An innovative, early-stage AI startup pioneering the fields of Agentic AI and Customer Experience Automation.

The company develops an advanced, AI-native autonomous agent platform that delivers enterprise-grade customer interaction capabilities, hyper-personalization, and rapid automation to SMBs eliminating traditional technical complexities and high overhead.

Backed by substantial early-stage venture capital funding from premier investors, the company is building its core Founding Engineering group with a high-caliber team of dozens of professionals in Israel.

Located in central Tel Aviv (adjacent to the light-rail station), operating on a hybrid work model with 1 day WFH per week.

Role Description-

• Joining as a foundational Senior AI / Backend Engineer (Founding Team), taking complete ownership over core system architecture, scalable AI infrastructure, and production AI deployments.

• Designing and building high-throughput Multi-Agent Systems, advanced reasoning pipelines, and streaming inference engines.

• Developing resilient backend services and data workflows primarily using Python across modern Cloud environments (AWS / GCP).

• Establishing end-to-end operational capabilities for production AI systems, including Prompt Management, Fault Tolerance, Model Monitoring, and Distributed Logging.

• Bridging advanced GenAI/LLM research with production-grade software engineering to power mission-critical autonomous customer interactions.

Requirements-

• B.Sc. in Computer Science, Software/Electrical Engineering, or relevant IDF technology unit background – Mandatory

• 6+ years of hands-on software development experience specializing in Backend Development or Machine Learning Engineering – Mandatory

• Extensive, production-grade programming experience with Python – Mandatory

• Proven, hands-on track record of deploying and maintaining AI / LLM / GenAI systems in Production – Mandatory

• Practical experience architecting Multi-Agent Systems, Agentic Workflows, Reasoning Pipelines, or Streaming Inference – Mandatory

• Solid background in Cloud infrastructure, containerization, and distributed architectures (AWS / GCP, Docker, Kubernetes) – Mandatory

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