Summary
✨ AI‑Generated
An experienced AI platform engineering role focused on building scalable solutions that combine artificial intelligence, automation, and governance controls. The position involves developing cloud-native services, APIs, and engineering frameworks for intelligent validation systems.
Highlights
Offers access to professional development programs, internal mobility opportunities, and the chance to build advanced AI-powered platforms combining engineering and automation.
Description
🟦Join us in Luxoft!
(opportunity for PL based candidates )
💰 Paid Referrals
💻Equipment
🩺Private Medical & Dental care & Life Insurance (covered by us on Employment contract )
🏋🏽 MyBenefit program (sports card, well-being program etc.) (covered by us on Employment contract )
🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts
🎓 LuxTalent platform (webinars, training, courses)
… and many more!
🟦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 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.
🟦Nice-to-Have Skills:
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.
🟦Languages:
English: Upper Intermediate
