5 publicaciones de empleo destacadas en devops engineer (observability) (¡Están contratando!)

Senior GenAI Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Head of Applications Architecture
Citi —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Servicios financieros
8h
Analytics Engineer IT
Dana Incorporated —Querétaro, Qro.
- Oracle
- Salesforce
- DevOps
Staff Software Engineer (Data)
BSA-JLL - LaSalle Partners, MEX —Jalisco, Jal.
- Tiempo completo
- Microsoft Excel
- Azure
- DevOps
Postulación rápida
Full-stack Lead/Senior Developer (C# + Angular)
Jalasoft —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Capacitación
Postulación rápida

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Senior GenAI Engineer

EPAM Systems, Inc. -
Desde casa

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Información del empleo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Azure
Derecho
DevOps
NoSQL
Inglés
Experiencia en bases de datos
SQL
Redis
Kafka
Habilidades de comunicación
Python

Descripción completa del empleo

We are building scalable, production-ready GenAI services and need a Senior GenAI Engineer to drive backend delivery, LLM integration, and platform operations. You will partner with AI/DS, Product, and DevOps to ship reliable AI applications with strong observability, performance, and cost controls across the AI SDLC—apply now.

Responsibilities

Design and build backend services for AI/LLM-powered applications, then run and evolve them in production
Own end-to-end delivery of GenAI features from implementation through release and ongoing production support
Integrate and operate LLM APIs (e.g. OpenAI) in enterprise-grade production environments
Develop APIs, orchestration layers, and microservices that enable agentic AI workflows
Optimize LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
Implement CI/CD pipelines plus observability, monitoring, and logging for AI services
Collaborate with AI/DS, Product, DevOps, and platform teams to streamline delivery and raise reliability
Work within Azure cloud environments and distributed systems using Redis, Kafka, and SQL/NoSQL
Support MCP integrations, agentic memory initiatives, and AI orchestration frameworks
Drive GenAI-assisted development practices and help scale enterprise AI SDLC processes
Contribute to AI Beauty Chat delivery via agentic micro-pod execution models
Execute System Steward responsibilities within agentic micro-pods

Requirements

3+ years of Python backend engineering experience
Proven expertise building and operating production-grade GenAI/LLM applications end-to-end
Hands-on experience running OpenAI or other LLM APIs in production environments
Deep proficiency in prompt engineering, agentic workflows, and orchestration patterns
Demonstrated ability to manage LLM operational challenges such as latency, retries, fallbacks, observability, and cost optimization
Solid understanding of scalable backend architecture and distributed system design
Hands-on skills in CI/CD, DevOps workflows, and Azure cloud environments
Background applying GenAI across the SDLC, including AI-assisted development, testing, deployment, and delivery workflows
Working knowledge of SQL/NoSQL databases, Redis, and Kafka
Familiarity with Databricks and MCP
Excellent English communication skills (B2+ level)

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

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Senior GenAI Engineer

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