Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q0kt9

We are building AI capabilities into the full SDLC and need an AI Engineering Manage r to lead hands-on delivery at scale. You will embed LLM tooling into engineering workflows, ship production services and integrations, and enable teams with guardrails, best practices, and measurable impact—apply now.

Design and deliver AI-powered solutions embedded into SDLC workflows across requirements, development, testing, and CI/CD Build backend services and integrations that enable LLM-based tooling within engineering environments Create prototypes and mature them into production-ready AI-assisted automation Implement AI capabilities into CI/CD pipelines, code review processes, and testing frameworks Identify SDLC use cases with the highest impact for AI enablement Define best practices for AI-assisted development across teams Support engineering teams hands-on as they adopt AI tools Establish guardrails to ensure secure and responsible AI usage Measure and communicate the impact of AI adoption on cycle time, quality,



and productivity Proven background with 9+ years of engineering experience in Python (must-have), with added exposure to Java or Node.js as a plus Hands-on experience integrating external APIs, including AI/LLM services Solid knowledge of CI/CD pipelines along with DevOps ways of working Expert-level understanding of microservices architecture plus Docker and Kubernetes Strong capability to deliver production-grade services with scalability, monitoring, and logging in mind Practical experience using LLM APIs and crafting prompts Deep understanding of end-to-end SDLC processes Demonstrated examples of boosting developer productivity through tooling Clear ability to drive adoption of new technical practices across engineering teams Effective communication skills when working with engineers and stakeholders Flexibility to turn AI capabilities into actionable engineering improvements Confidence running demos, workshops, and internal technical sessions

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q0kt9

📌 AI Engineering Manager (Argentina)
🏢 EPAM Systems
📍 Argentina