FULL STACK DEVELOPER
Pubblicato il 13-08-2026 - aiGot in Italia
Rubber Duck is building the semantic trust layer for software engineering . We are not building "just another coding agent." We are building the layer that turns fragmented signals from repositories, pull requests, CI, issues, tests, risks, dependencies, and data flows into verifiable engineering context before an AI agent reviews, plans, secures, explains, or modifies code. We are looking for a Full-Stack Developer who can help us build the product from the ground up. Someone who is strong across backend, frontend, APIs, databases, product logic, integrations, and developer workflows. You should know Python and understand AI systems well enough to work around LLMs, agents, embeddings, RAG, evaluations, and AI-powered workflows — but this is not primarily an AI research role . We are looking for a builder. A product-minded developer who can ship reliable software, think through architecture, work fast, and understand the difference between an impressive demo and something that can survive real engineering teams. This could be a on side,
hybrid or fully remote position What you'll do You will work on the core Rubber Duck platform, helping us build the systems that connect codebases, developer workflows, AI agents, and engineering context. You will contribute across the stack: backend services, frontend interfaces, APIs, integrations, data pipelines, internal tools, and product features. You will work on things like: building backend services and APIs; developing frontend product experiences; integrating with Git Hub, CI/CD systems, issue trackers, code repositories, and developer tools; working with Python-based services and AI-adjacent workflows; implementing product logic around code analysis, context retrieval, engineering signals, and agent workflows; designing reliable data flows between repositories, pull requests, tests, issues, and AI systems; building internal tooling to help us move faster; improving performance, reliability, and developer experience; colla