Job Description

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.

Mandatory Skills:

AWS CI/CD

Mandatory Skills Description:

Solid 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.

📌 Senior AI Platform Engineer (India)
🏢 Luxoft
📍 India