Summary
✨ AI‑Generated
An experienced engineer is needed to build AI-powered platforms combining machine learning capabilities with scalable software systems. The role focuses on automation, intelligent validation, and cloud-based solutions.
Highlights
Advanced engineering role combining AI, software development, and DevOps with opportunities to build scalable intelligent platforms.
Description
🔥Become a Luxoft employee🔥
Our Benefits:
💰Paid Referrals
💻Equipment: laptop and monitor
🩺Private Medical & Dental care & Life Insurance covered
🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)
🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts
🎓 LuxTalent platform (webinars, training, courses)
...and 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 Description:
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: B2 Upper Intermediate
