Senior AI Platform Engineer

Luxoft; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Luxoft in the United States is seeking an experienced engineer to build and operate a next‑generation policy validation and enforcement platform that blends agentic AI with rule‑based controls, across cloud-native architectures.

You will design AI-powered validation frameworks, develop scalable Python services, deploy and monitor AI applications, and collaborate with governance and security 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 development

Generative AI

LLMs

Prompt engineering

RAG architectures

CI/CD practices

Problem solving

Communication

Collaboration

Cloud platforms

Tools

AWS CI/CD

Docker

Job description

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:

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.