1 day ago
Kraków, PolandEntry Level
Responsibilities
- Design, build, test, document, debug, and ship software features under the guidance of senior engineers.
- Develop API-first, service-oriented applications following established architecture and coding standards.
- Integrate LLMs and AI APIs into product workflows to build AI-powered features.
- Use AI-assisted development tools to improve coding efficiency, quality, and test coverage.
- Write and maintain software using Java, Python, JavaScript, and/or TypeScript.
- Use MongoDB and other databases for data modeling, storage, and retrieval.
- Participate in code reviews, sprint planning, stand-ups, retrospectives, and system design discussions.
- Collaborate with product managers, designers, and engineers to translate requirements into working software.
- Apply secure coding practices and support observability and monitoring for delivered features.
- Continuously learn and apply relevant tools, frameworks, and AI/ML techniques.
Requirements
- Approximately 1–2 years of professional software engineering experience, including internships and co-op experience.
- Proficiency in at least one of Java, Python, JavaScript, or TypeScript.
- Basic understanding of API design and RESTful services.
- Exposure to NoSQL databases such as MongoDB or relational databases.
- Familiarity with or strong interest in AI tools and LLM-based development, including GitHub Copilot, Claude, Cursor, or ChatGPT.
- Understanding of data structures, version control, testing, and debugging.
- Experience with or academic exposure to Agile/Scrum development environments.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Preferred experience includes building or integrating AI/LLM-powered features through school, internships, or personal projects.
- Preferred exposure includes prompt engineering, retrieval-augmented generation, vector databases, AWS, Azure, GCP, CI/CD, event-driven architectures, and microservices.
- A portfolio, GitHub profile, or personal projects demonstrating initiative and coding ability is preferred.
Benefits
- Hybrid work arrangement.
- Competitive salary, benefits, discretionary time off, parental leave, and an equity program.
- Annual performance bonus and long-term incentives are included in the total compensation structure.
- Opportunities to work on large-scale, cloud-native legal technology and grow system ownership across distributed environments.