Developer – AI-Enabled Delivery

Our requirements

• 4 - 8 years of experience.
• Strong hands-on experience with Java microservices development (Spring Boot).
• Solid understanding of RDBMS (Oracle/PostgreSQL): schema design, performance tuning, and transaction handling.
• In-depth knowledge of unit testing, integration testing, contract testing (JUnit, Mockito, Testcontainers).
• Proven experience with CI/CD pipelines (Jenkins/GitLab) and quality gates (Sonar, SAST/DAST scanning).
• Familiarity with integration patterns (REST APIs, event-driven messaging).
• Experience in technical design, with pragmatic trade-offs under delivery constraints.
• Hands-on experience with cloud platforms (GCP).
• Practical exposure to GenAI concepts and tools (LLMs, RAG, agentic workflows) and associated governance.

Optional

• Previous work in regulated industries with strong audit and operational control.
• Knowledge of cloud-native patterns: containers, Kubernetes, service mesh, observability tooling.
• Exposure to performance engineering and resilience testing.
• Prior participation in AI-enabled SDLC adoption with governance frameworks.
• Hands-on with GenAI prototyping (prompt engineering, RAG pipelines, evaluation methods).

Your responsibilities

• Design, build, test, and release Java microservices and related components in an enterprise environment.
• Contribute to solution design and integration patterns, ensuring alignment with architecture and non-functional requirements.
• Identify and mitigate technical risks and dependencies impacting delivery.
• Apply and enhance engineering standards, including coding practices, branching, TDD, CI/CD pipelines, and automated quality gates.
• Deliver comprehensive unit, integration, and contract tests (JUnit, Mockito, API testing).
• Participate in peer reviews for design, code, and security, remediating issues promptly.
• Use AI-assisted tooling (e.g., GitHub Copilot) to accelerate delivery responsibly, meeting security and traceability standards.
• Apply guardrails for AI-generated code, including review, audit, and IP compliance.
• Contribute to safe GenAI integration patterns, such as LLM usage, retrieval-augmented generation (RAG), and agent workflows with human review.
• Embed security-by-design, including vulnerability management and secure coding practices.
• Ensure production readiness: observability, logging, monitoring, performance testing, and incident support.
• Work with cross-functional teams to deliver integrated outcomes and improve developer velocity.
• Promote an inclusive, collaborative culture based on engineering excellence and innovation.
• Note: Detailed project information will be shared during the recruitment process.

About the project

This is how we organize our work

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• issue tracking tools

What we offer

• Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
• Hybrid work setup – 2 days per week from the office
• Collaborative team culture – work alongside experienced professionals eager to share knowledge
• Continuous development – access to training platforms and growth opportunities
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment – laptop and essential software provided

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance

Mindbox Sp. z o.o.