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.