We are seeking AI-Native Software Engineers to join a small, high-impact engineering pod supporting a senior technical lead and a client team. This is not a traditional staff augmentation role. Engineers will operate in an R&D-style environment , working with ambiguity, rapidly prototyping solutions, and leveraging AI tools to accelerate engineering workflows and delivery. Key Responsibilities Build and iterate on prototypes, internal tools, and engineering solutions Use AI tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate coding, debugging, testing, and documentation Contribute to CI/CD improvements, testing automation, and code quality initiatives Help improve software development lifecycle (SDLC) workflows using AI Collaborate directly with internal and client technical leads, contributing ideas and technical direction Work effectively in a fast-paced, ambiguous environment without a fully defined backlog Candidates must demonstrate real, day-to-day use of AI tools to accelerate engineering work . Profiles that only list AI tools without practical application will not be considered. Qualifications 6+ years of hands-on software engineering experience Experience with Go and/or C++ Strong coding and problem-solving skills Daily, hands-on use of AI coding tools (beyond experimental exposure) Ability to clearly articulate how AI tools improve development workflows (coding, debugging, testing, refactoring, etc.) Experience working on internal tools, developer productivity, or engineering processes is a strong plus Comfortable working in unstructured / R&D environments Strong communication skills and ability to collaborate with senior technical stakeholders Nice to Have Familiarity with CI/CD pipelines, automation, and DevOps practices Experience with code quality, testing frameworks, or security best practices Additional information Duration: Initial 3-6 months , with potential extension Team Structure: Working Hours: Strong overlap with US time zones required (EST) #J-18808-Ljbffr