
Staff AI Software Engineer
Posted Sep 18

Posted Sep 18
This is a fully remote position, open to applicants in Mexico.
β’ Transform Kueski's current services, data platforms, and pipelines into systems that can be safely and effectively utilized by AI agents and models.
β’ Determine which infrastructure to wrap, refactor, expose, or phase out, and plan the sequence of this transformation.
β’ Organize and make Kueski's code, data, business logic, documentation, and operational status accessible for LLMs and agents.
β’ Take ownership of the retrieval, memory, and knowledge-representation components.
β’ Redefine software development through agentic engineering workflows encompassing specifications, coding, review, testing, and deployment.
β’ Establish standards, tools, and guidelines that incorporate AI into the development process.
β’ Design and implement agentic systems to enhance internal workflows.
β’ Lead the production of at least one critical AI capability and showcase its impact with data.
β’ Create evaluation frameworks, observability, and safety/compliance measures for AI in a regulated lending context.
β’ Tackle issues related to PII handling, model risk, and auditability.
β’ Develop reusable platforms and reference implementations.
β’ Foster engineering-wide fluency in AI through collaboration and mentorship.
β’ Transform isolated successes into sustainable capabilities.
β’ Proven experience in building and deploying AI products.
β’ Deep understanding of transitioning legacy organizations to become AI-native.
β’ Over 10 years of software development experience.
β’ Several years of experience in designing and deploying ML/AI systems at scale.
β’ Strong foundation in systems and software engineering principles.
β’ Demonstrated history of influencing at the Staff+ level and guiding direction across multiple teams.
β’ Capacity to make decisions in high-ambiguity situations with limited information.
β’ Insightful judgment on the build/buy/fine-tune/prompt continuum.
β’ Proficiency in optimizing for results and cost efficiency.
β’ Skill in aligning engineers, PMs, and risk/compliance stakeholders.
β’ Capability to provide direct technical insights when required.
β’ Commitment to diversity and inclusion initiatives.
β’ Reasonable accommodations provided throughout the hiring process.
β’ A collaborative, innovative, and inclusive workplace culture.
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