
AI-Augmented Software Engineer
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Argentina, +5 more countries.
β’ Develop product software from start to finish, encompassing APIs, services, data models, and client stack interfaces.
β’ Transition software from conceptual problem statements to production-ready solutions utilized by client users.
β’ Draft specifications and tests prior to implementation.
β’ Commit and manage agent context within repositories.
β’ Oversee delivery gates that trigger with every modification.
β’ Review every code difference associated with the engineer's name.
β’ Take ownership of automated tests, continuous integration/continuous deployment (CI/CD), and failure management.
β’ Collaborate within client environments, repositories, participate in standups, and occasionally engage in customer calls.
β’ Utilize AI coding tools such as Claude Code and Codex in development.
β’ Conduct automated codebase audits to uncover security, cost, and architectural issues.
β’ Work independently of vendors across OpenAI, Anthropic, and open-weight models.
β’ Leverage Azumo's Valkyrie production layer when applicable.
β’ Deliver software solutions for client organizations as part of nearshore AI engineering teams.
β’ Over 5 years of experience in building and deploying production software in at least one modern programming language and tech stack.
β’ Strong engineering principles including testing, code reviews, CI/CD, Git, containerization, and API design.
β’ Proficiency in one tech stack with a willingness to adapt to another.
β’ Hands-on experience with both relational and non-relational databases, focusing on schema design and query optimization.
β’ Experience integrating with third-party APIs and services utilizing REST, OAuth, and JSON.
β’ Understanding of retries, timeouts, and handling failures of third-party services.
β’ Experience in automated testing, including unit and integration tests created in tandem with code development.
β’ Familiarity with cloud deployment using Docker, CI/CD pipelines, and infrastructure as code tools such as GitHub Actions, Terraform, or Bicep.
β’ Daily engagement with AI coding agents beyond basic autocomplete, encompassing repository agents, preserving repo-level context, and reviewing all deployed code.
β’ Proficient in written and spoken English at a C1 level or higher.
β’ Ability to confidently communicate technical trade-offs directly to clients.
β’ Bachelor's degree in Computer Science, a related field, or equivalent professional experience.
β’ Preferred: In-depth frontend experience with frameworks like React, Vue, or similar.
β’ Preferred: Experience in mobile development, whether native or cross-platform.
β’ Preferred: Experience in building agent tooling, including MCP servers, hooks, sandboxes, or CI gates.
β’ Preferred: Performance optimization and cost management on production systems.
β’ Preferred: Experience delivering projects under SOC 2 or HIPAA compliance.
β’ Preferred: Contributions to open-source projects, published technical articles, or active involvement in engineering communities.
β’ Paid time off (PTO).
β’ Observance of U.S. holidays.
β’ AI training opportunities.
β’ Mentorship for career development.
β’ Profit-sharing options.
β’ Competitive remuneration in U.S. dollars.
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