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EPAM
Open role>1 month

Lead AI Software Engineer

EPAMArgentina; Brazil; Chile; Colombia; Mexico
Apply on company site
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
13 tags

Technology context

13

Parsed from the vacancy text; ordered by relevance to this role.

Node.jsAILLMAI-Assisted DevelopmentJavaPythonKubernetesBackendDevOpsDockerMicroservicesCI/CDAutomation

Full listing

Role description

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