Senior AI-First Fullstack Engineer

We are looking for a Senior Fullstack Engineer who combines deep technical expertise with real, team-level experience working in an AI-integrated software development lifecycle. Individual use of AI coding assistants is not sufficient for this role. We are specifically looking for engineers who have worked in teams where AI was embedded into every phase of delivery — from planning and design through development, review, testing, and deployment. 

 We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions.

AI-First Requirements 

Experience working in an AI-enabled engineering team is mandatory — not a personal workflow preference. 

You have been part of a team where AI was systematically embedded across all delivery phases: planning, development, review, testing, and deployment. You can speak from direct experience about how it worked, what failed, and what you would change. 

Specific mandatory requirements: 

• Team-level AI-integrated SDLC experience — shared toolchain, shared configurations, shared assets under version control 

• Hands-on with Claude Code, GitHub Copilot, Cursor, or equivalent as a team tool, not only personal usage 

• Built and maintained custom skills and sub-agents used across a team, not just personally 

• Experience with parallel agent orchestration for concurrent workstream execution 

• Disciplined plan → review plan → execute approach with AI involved at every phase 

• Maintained shared prompt libraries, skill repositories, or agent configurations in version control 

• AI-assisted code review integrated into the PR process: CodeRabbit, Copilot review, or similar 

• Experience with spec-driven or document-driven development where structured specifications (OpenAPI, ADRs, PRDs) serve as AI context inputs, not just human references 

• Working knowledge of at least one AI orchestration framework: LangChain, LlamaIndex, Microsoft Agent Framework, CrewAI, or equivalent 

• Automation-first mindset: proactively identify repetitive or inefficient parts of current work and automate them using AI and other available tools. 

• Cost-aware AI usage: understanding how AI credits are consumed across different tools, models, and workflows, and ability to choose the most appropriate model or approach for each task. 

Technical Requirements 

Backend: .NET / C#, ASP.NET Core, SQL Server / PostgreSQL, EF Core, OAuth 2.0 / JWT. Python, Java, or Node.js is a strong plus. 

Frontend: TypeScript, JavaScript, React(preferable) and/or Angular, state management, async patterns, frontend testing. 

Architecture: Full spectrum from monolith to microservices — DDD, CQRS, Event Sourcing, event-driven design, message brokers. 

Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions / Azure DevOps), Azure / AWS / GCP, structured observability. 

Responsibilities 

• Deliver full-stack features to a high standard of quality, performance, and reliability 

• Contribute to architectural decisions and system design trade-offs 

• Evolve and maintain the team's shared AI toolchain across all SDLC phases 

• Conduct code reviews including AI-assisted tooling; uphold and enforce engineering best practices 

• Proactively surface risks, bottlenecks, and security concerns 

• Communicate and collaborate directly with clients in English 

• Mentor engineers on both technical fundamentals and AI-augmented workflow practices 

Professional Qualities 

Ownership mindset · Strong written and verbal English · Comfortable in client-facing roles · Raises the AI workflow maturity of those around them