Senior AI Platform Engineer

Luxoft Germany; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Luxoft Germany seeks an experienced software engineer to build and operate a next-generation policy validation and enforcement platform that blends agentic AI with rule-based controls in cloud-native environments. You will design AI-powered validation frameworks, implement scalable Python services, and develop RAG-enabled agents.

Responsibilities include deploying and monitoring AI applications in cloud environments, building CI/CD pipelines, and collaborating with security and governance teams

Qualifications

• Strong Python development skills with APIs, testing, data structures, and maintainable code.

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

Python development

Generative AI/LLMs

Cloud platforms (AWS/Azure/GCP)

Docker & CI/CD

AI deployment & monitoring

Problem solving

Team collaboration

Tools

Docker

CI/CD pipelines

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

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.