Senior AI-Assisted Software Engineer

Nexer Group

Skills

Nexer Czech Republic is a division within DANIR AB, an IT consulting and R&D company.
We have the opportunity to work with world-renowned brands from Scandinavia, the USA, the UK, and Western Europe.
Our goal is to grow strong, focusing on competencies rather than numbers.

Own problems end-to-end, from initial discovery through production delivery and support
Collaborate with Product Owners, architects, engineers, testers, and business stakeholders to define and deliver solutions
Design and implement backend services, web applications, APIs, integrations, data flows, and cloud-based solutions
Build prototypes, validate solutions with users, and iteratively improve outcomes
Ensure solutions meet requirements for scalability, security, resilience, maintainability, and operational readiness
Use AI-assisted engineering tools to support development, testing, troubleshooting, code reviews, migrations, and documentation
Review and validate AI-generated outputs to ensure quality, security, and correctness
Drive technical decision-making, architecture discussions, and engineering best practices
Troubleshoot complex issues across applications, integrations, infrastructure, and data environments
Mentor team members and communicate technical trade-offs to both technical and non-technical audiences

Strong hands-on experience delivering production software in enterprise environments
Experience working across software development, APIs, integrations, cloud platforms, CI/CD, testing, and production operations
Proven ability to take unclear requirements and transform them into production-ready solutions
Strong understanding of software architecture, security, scalability, performance, maintainability, and operational excellence
Experience with distributed systems and enterprise integrations

Experience making technical decisions under uncertainty and documenting key architectural choices
Practical experience using GitHub Copilot or similar AI-assisted engineering tools
Understanding of AI-assisted development practices, including validation of generated outputs and awareness of AI-related risks
Advanced in Java, Spring Boot
Excellent communication skills and professional proficiency in English

Experience with Azure, Kubernetes, OpenShift, Docker, Infrastructure as Code, and GitHub Actions
Knowledge of Kafka, Azure Service Bus, API gateways, Oracle, PostgreSQL, or MongoDB
Experience with RAG, Agentic AI, Model Context Protocol (MCP), AI observability, or application modernization initiatives
Background in logistics, pricing, planning, workflow automation, or enterprise platform development