[8SC] Senior AI Software Engineer at Software Mind · San José

companyDescription We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! jobDescription 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 Key Expectation: 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. #LI-DNI qualifications 3–6+ years of hands-on software engineering experience 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: Experience with Go and/or C++ Familiarity with CI/CD pipelines, automation, and DevOps practices Experience with code quality, testing frameworks, or security best practices additionalInformation Engagement Model: Pod-based (not full-time staff augmentation), with flexible or part-time allocation Duration: Initial 3–6 months, with potential extension Team Structure: 1 Senior AI-focused Engineer (Poland-based) 1–2 AI-Native Engineers (LATAM) Working Hours: Strong overlap with US time zones required Interview Process: Internal screening Technical conversation with internal lead Final alignment / potential security discussion Environment & Tools: Development: Mac Production / secondary: Linux / Ubuntu No specific cloud environment defined yet Secure development practices expected GitHub access managed via feature branches Location & Restrictions: Preferred: LATAM (Argentina, Brazil, or similar US-aligned time zones) Must not be based in: India Must avoid exposure to restricted regions: China, Hong Kong, Macau, Russia, Iran, North Korea, Cuba, Venezuela Federal background check may be required No exposure to classified or CUI materials expected