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. Requirements12+ 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 RES

Tful 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 Git

Hub 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.