Platform AI Engineer

AI Platform & Innovation Engineer
We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across Nexxen’s products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.

What You’ll Do

• Design and build reusable AI platform capabilities used across multiple products.

• Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.

• Design and build internal AI platforms such as organizational knowledge (“Brain”), AI developer tools, autonomous engineering workflows, and shared AI services.

• Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.

• Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.

• Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.

• Build and operate production AI services using modern cloud-native technologies.

• Improve the reliability, scalability and observability of AI systems.

• Define engineering standards, reusable patterns and best practices for AI development across engineering teams.

• Lead technical proof-of-concepts and drive adoption of innovative AI technologies.

• Mentor engineers and provide technical leadership on complex AI initiatives.

  
  What You’ll Bring

• B.Sc. in Computer Science or a related field.

• 5+ years of backend software engineering experience.

• 3+ years of hands-on experience building production AI systems.

• Strong Python development experience – Must.

• Hands-on experience with Kubernetes, Docker and deploying production workloads in cloud-native environments – Must.

• Hands-on experience with CI/CD pipelines, GitOps workflows and modern software delivery practices – Must.

• Deep understanding of Large Language Models (LLMs), prompting, reasoning techniques, structured outputs, tool calling and retrieval architectures – Must.

• Strong experience designing and building end-to-end AI systems, from data ingestion and orchestration to production deployment.

• Experience designing AI agents, agentic workflows or AI automation systems.

• Experience working with Data Science or Machine Learning teams.

• Strong software architecture and distributed systems design skills.

• Experience with vector databases, graph databases or modern AI data platforms – an advantage.

• Experience with AI frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, Semantic Kernel, AutoGen or similar – an advantage.

• Experience evaluating and integrating emerging AI technologies into production systems – an advantage.

• Excellent spoken and written English skills.

• A proactive, curious and collaborative mindset, with a passion for building AI platforms and driving technical innovation across engineering teams.

What if I have any questions before I apply?

All applications need to be submitted online, however, to discuss any adjustments you may require ahead of submitting your application, please email [email protected]

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