Platform AI Engineer

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.

At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact.

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