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.

SKILLS

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.