Senior AI Platform Engineer

Luxoft Germany; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Luxoft Germany is seeking an experienced engineer to build and operate a next-generation policy validation platform. You will design AI-powered frameworks, develop Python services, and deploy scalable cloud-native solutions across AWS/Azure/GCP.

Join a cross-disciplinary team spanning Software Engineering, DevOps, and AI/ML to implement governance and compliance validation with responsible AI practices, CI/CD, Docker, and robust monitoring.

Qualifications

• Strong Python development skills including APIs and testing.
• 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.
• Excellent problem-solving, communication, and collaboration skills.

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

LLMs

Prompt engineering

RAG architectures

Cloud platforms

Cloud AI services

Docker

CI/CD

Model deployment

Monitoring

Scalability

Responsible AI

Problem-solving

Communication

Collaboration

Tools

Docker

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.