Software Engineer - Budapest, Hungary

Job summary

We are building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you're not just building the future - you're an agent of positive change, joining a global community on a mission to make an impact.

Responsibilities

• Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools.
• Actively contribute to code reviews, testing practices, and maintain service stability.
• Support and guide junior engineers (SE-I), fostering collaboration, knowledge sharing, and constructive feedback.
• Maintain healthy development flow by adhering to Agile processes and driving iterative enhancements.
• Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment.
• Understand core LLM concepts (e.g., tokens, context length, hallucinations), recognize safe vs. unsafe use cases, and flag ethical, privacy, or cost concerns.

Qualifications

• 3–5 years of professional software engineering experience in an agile, fast-paced environment.
• Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness).
• AI Tooling & Practices: Uses AI to boost productivity (e.g., test scenarios, architecture drafts, research), skilled in prompt engineering (instruction vs. few-shot), and evaluates AI outputs responsibly (bias, cost, ethics).
• Backend Proficiency: Builds RESTful APIs with , works with Docker/container workflows, employs Git for version control, and has hands-on experience with SQL databases (e.g., PostgreSQL).
• Frontend familiarity: Experience using React or Angular for modern web interfaces.
• Cloud & infrastructure basics: Hands-on with AWS services; familiarity with infrastructure as code (CDK, Terraform) is a plus.
• CI/CD mindset: Experience or interest in CI/CD pipeline setup and exploring AI-assisted DevOps tooling.
• Collaboration & communication: Comfortable discussing architectural decisions, documenting designs (potentially with AI assistance), and presenting technical ideas clearly.

Munkaköri leírás