AI Software Engineer (DaVinci)

At Syberry , we believe that great software starts with a simple principle: being a strategic partner who helps clients achieve their goals. We are a global team that builds custom software for industries ranging from finance to healthcare. Our mission is to raise the bar for the entire software industry; that's why we invest in strong engineering practices, automation, and clear processes to make our work predictable, efficient, and meaningful. Join us as an AI Software Engineer to drive cutting-edge solutions while growing in a collaborative, forward-thinking environment. The Project DaVinci works as a product team that is the company’s engineering and delivery environment. In this sense, our service is our product - the way we support teams, design processes, and build tools is itself the value we deliver. Everything we do is aimed at helping teams work more effectively and deliver stronger results to clients. The key mission of the DaVinci product is to systematically enhance how the company operates by transforming processes, implementing modern technologies, and increasing overall team efficiency. At its core, DaVinci focuses on driving meaningful behavioral change across teams and individuals within the organization. Rather than simply building tools or defining processes, the team ensures that these solutions fundamentally reshape employees’ day-to-day work and deliver measurable, tangible improvements. We’re shipping a practical AI agent that automates key recruiting workflows - planning tasks and executing permitted actions via APIs, so teams spend less time on manual data entry and status-chasing, and more time with candidates. After that, we plan to expand the process for the other company's parts. Responsibilities Design architecture of AI agent and it's interaction with other software components. Design and ship AI features end-to-end: prompt logic, tool/function schemas, input/output validation, and integration with APIs/services. Build reliable evaluation pipelines (golden sets, automatic metrics, human review loops) and run experiments to improve quality, cost, and latency. Add observability: telemetry for prompts/versions, error taxonomies, and drift detection. Collaborate with backend teams to define clear data contracts and stable interfaces. Write concise design docs. Requirements 3+ years in software engineering Backend engineering experience with any stack (Python, Java, Node.js, .Net) English level B1+ Experience shipping LLM-powered systems at scale, including system design and setting engineering standards Optional Qualifications Experience with cloud platforms (AWS/GCP/Azure) Experience with Test-Driven Development (TDD) Experience with CI/CD pipelines