Senior AI Platform Engineer

Project description
We're looking for an experienced engineer to build and operate a next-generation policy validation and enforcement platform that combines agentic AI capabilities with rule-based controls. This role sits at the intersection of Software Engineering, DevOps, and AI/ML, focusing on scalable, cloud-native solutions that automate governance and compliance validation.
Responsibilities
Design and develop AI-powered policy validation frameworks using agentic and rule-based approaches.
Build scalable Python services, APIs, and automation workflows.
Develop RAG-enabled solutions and LLM-based validation agents.
Deploy, monitor, and maintain AI applications in cloud environments.
Implement CI/CD pipelines, containerized deployments, and operational tooling.
Collaborate with engineering, security, and governance teams to translate policy requirements into automated controls.
Must have
Strong Python development skills, including APIs, testing, data structures, and maintainable code.
Hands-on experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
Experience with AWS, Azure, or Google Cloud.
Familiarity with cloud AI services, Docker, and CI/CD practices.
Understanding of model deployment, monitoring, scalability, and Responsible AI principles.
Excellent problem-solving, communication, and collaboration skills.
Nice to have
Experience building AI/ML applications using frameworks such as scikit-learn.
Exposure to LangChain, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.
Knowledge of governance, compliance, security controls, or policy-as-code concepts.
Languages
English: C1 Advanced

Work arrangement
Yes