Senior AI Platform Engineer

Luxoft Germany; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Luxoft Germany is seeking an experienced engineer in Hyderabad, India to build and operate a next-generation policy validation platform blending agentic AI with rule-based controls. You will design AI-powered frameworks, develop scalable Python services, and deploy them across cloud environments.

The role emphasizes scalable AI governance automation, integration with DevOps practices, and collaboration with security and governance teams to translate policy requirements into automated controls.

Qualifications

• 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.

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

Generative AI/LLMs

Cloud platforms (AWS/Azure/GC

CI/CD

Docker

Problem solving & communication

Tools

Docker

CI/CD tools

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.