Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py7dq

We are looking for a Lead AI Software Engineer to embed AI-driven capabilities into the SDLC and scale their use across engineering teams. You will engineer integrations, automation, and enablement for LLM-based tooling across workflows like CI/CD, testing, and code review, and help teams adopt secure, responsible practices—apply now.

Responsibilities

Design AI-powered solutions embedded in SDLC workflows across requirements, development, testing, and CI/CD

Build backend services and integrations that enable LLM-based tooling in engineering environments

Create prototypes and deliver production-grade AI-assisted automation

Integrate AI capabilities into CI/CD pipelines, code review processes, and testing frameworks

Identify high-impact SDLC use cases for AI enablement

Establish best practices for AI-assisted development

Guide engineering teams in adopting AI tools through hands-on support

Define guardrails for secure and responsible AI usage

Measure and report the effects of AI adoption on cycle time, quality, and productivity

Requirements

5+ years of professional experience with Python, with additional exposure to Java or Node.js as a bonus

Hands-on experience integrating external APIs, including AI/LLM services

Solid background in CI/CD pipelines and DevOps practices





Deep understanding of microservices architecture with familiarity in Docker and Kubernetes

Proven track record delivering production-grade services with scalability, monitoring, and logging

Practical experience with LLM APIs and prompt design

Strong understanding of end-to-end SDLC processes and improving developer productivity through tooling

Demonstrated ability to drive adoption of new technical practices and translate AI capabilities into engineering improvements

Excellent communication skills with the ability to lead demos, workshops, and internal technical sessions

Advanced English proficiency (B2+/C1)

Nice to have

Change management experience to help drive adoption and sustain new AI-enabled engineering practices

We offer

International projects with top brands

Work with integral teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py7dq

📌 Lead AI Software Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina