TL;DR
Senior AI Backend Engineer (Java/Kotlin): Building and optimizing core components of hirify.global's AI-native validation engine for code indexation and test generation with an accent on distributed system architecture and performance. Focus on designing autonomous AI agents, orchestrating complex development environments, and ensuring system reliability under heavy developer load.
Location: Must be based in Europe
Compensation: €50,000–€75,000/year
Company
hirify.global is an early-stage startup building an AI-native validation engine that automatically generates and executes tests directly in the IDE to ensure reliable backend development.
What you will do
- Design and build core components of the validation engine, including code indexation and test execution pipelines.
- Develop and integrate AI agents responsible for autonomous test generation and deep code analysis.
- Build and optimize platform infrastructure for local and remote environment orchestration.
- Own features end-to-end, covering scoping, technical design, implementation, and deployment.
- Collaborate directly with the founding team to steer the technical architecture and product roadmap.
- Ensure the reliability and performance of systems that developers rely on for fast feedback.
Requirements
- Location: Must be based in Europe.
- 8+ years of professional backend development experience.
- Strong proficiency in Kotlin or another JVM-based language.
- Proven track record of designing and building complex distributed systems.
- Solid understanding of testing methodologies, CI/CD pipelines, and developer tooling.
- Familiarity with containerization (Docker) and database management.
- Ability to work autonomously in a remote environment.
Nice to have
- Experience building IDE extensions or CLI tooling.
- Familiarity with message brokers such as Kafka or RabbitMQ.
- Experience with LLM APIs and deploying prompt engineering in production environments.
- Previous work experience in an early-stage startup.
Culture & Benefits
- Remote-first environment with quarterly in-person off-sites.
- Opportunity to work on complex, non-CRUD challenges in AI and code analysis.
- Significant influence on product direction and engineering architecture.
- Direct involvement in the exploding market of AI-assisted development tooling.
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