3 publicaciones de empleo destacadas de developer java, spring en desde casa (¡Están contratando!)

Lead AI Software Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Senior/Lead AI Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- ERP systems
- Inglés
- Plan de adquisición de acciones empresariales
1d
Senior Full-Stack AI Agentic Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés

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Lead AI Software Engineer
EPAM Systems, Inc. —Desde casa
Strong understanding of end-to-end SDLC processes and improving developer productivity through tooling. Design AI-powered solutions embedded in SDLC workflows…

Quiero recibir la alerta de empleo más reciente para developer java, spring en desde casa

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Lead AI Software Engineer

EPAM Systems, Inc. -
Desde casa

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Información del empleo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Administración de personal
Node.js
Derecho
Kubernetes
DevOps
Inglés
Java
Docker
JavaScript
Python

Descripción completa del empleo

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 global 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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