Principal Software Engineer with AI

At Pretius, we are looking for Principal Software Engineer with AI to a project in the financial industry, international team.

Project / Role

• Lead the design (whole components and particular features), development, and deployment of new solutions.

• Propose improvements to technical standards and delivery processes, promoting good practices in cooperation with other Tech Leads in Global Tax Technology.

• Facilitate collaboration with Product Owners/Managers on product roadmaps, in alignment with other Tech Leads in Global Tax Technology, overseeing solution implementation.

• Lead and mentor other Software Developers and Quality Analysts, supporting code and test plan reviews.

• Monitor solution compliance with Sightline platform technical standards and security requirements, facilitating timely issue resolution and other DevOps tasks.

• Support incident and problem management.

• Drive adoption of GenAI tools and agentic workflows across the team, educating engineers on new ways of working and hands-on AI-enabled development practices.

• Stay current with emerging AI frameworks, agent platforms, CLI toolkits, and full-stack best practices, translating them into concrete improvements in daily engineering work.

Requirements

• 12+ years of experience in software projects within a global environment and a complex organization.

• 5+ years as an IT architect or Tech Lead, applying best practices including Agile, DDD, microservices, CQRS, CLEAN, and SOLID.

• Solid skills in RESTful Web app development using C#/.NET, Python, and front-end technologies such as React, Angular, or Vue.js.

• Proficiency in Microsoft Azure and M365 cloud platforms, including Azure Functions, Service Bus, Event Hub, App Services, SQL, and MongoDB.

• Proven hands-on experience with AI-enabled development tools and agentic systems such as GitHub Copilot, Cursor, OpenAI Codex, Claude Code, or Gemini CLI, applied in complex, production-grade engineering scenarios beyond basic code assistance.

• Demonstrable track record of implementing advanced AI use cases — including multi-agent workflows, AI-augmented architecture decisions, or spec-driven development with LLM tooling.

• Experience with test-driven and spec-driven development using tools such as Playwright, MS Test, Fluent Assertions, NUnit, K6, SpecKit, or BMAD.

• Familiarity with DevOps technologies and practices.

• B2+ in written and spoken English.

What do we offer?

• We focus on long-term relationships based on fair principles and reliability.

• Co-financing of the Multisport card and Medicover private healthcare.

• Modern office available.

• Team bonding activities, internal courses, conferences, certifications.