3 publicaciones de empleo destacadas de service operations en desde casa (¡Están contratando!)

Lead GenAI Engineer
EPAM Systems, Inc. —Desde casa
11h
Chief Generative AI Engineer
EPAM Systems, Inc. —Desde casa
11h
Senior GenAI Engineer
EPAM Systems, Inc. —Desde casa
11h

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Chief Generative AI Engineer
EPAM Systems, Inc. —Desde casa
Experience in generative AI engineering, including LLM application design, prompt engineering, RAG, and model selection/tuning tradeoffs.
11h

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Lead GenAI Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Hace 11 horas

Descripción completa del empleo

We are seeking a Lead GenAI Engineer to own end-to-end delivery, deployment, and operations of enterprise AI-powered applications at scale. You will combine Python backend engineering, LLM integrations, and Azure DevOps practices to ship reliable GenAI features with strong observability and performance. You will partner with AI/DS, Product, and DevOps to improve the full AI SDLC—apply now.

Responsibilities

Design, build, deploy, and sustain backend services for AI/LLM-powered applications
Lead E2E delivery of GenAI features from implementation through production support
Integrate and run LLM APIs within enterprise production environments
Create APIs, orchestration layers, and microservices that enable agentic AI workflows
Tune LLM systems for latency, resilience, retries, fallbacks, and cost efficiency
Set up CI/CD pipelines, observability, monitoring, and logging for AI services
Partner with AI/DS, Product, DevOps, and platform teams to streamline delivery and raise reliability
Support MCP integrations, agentic memory initiatives, and AI orchestration frameworks
Champion GenAI-assisted development practices and expand AI SDLC processes
Contribute to AI Beauty Chat delivery through agentic micro-pod execution models
Execute System Steward responsibilities in agentic micro-pods

Requirements

Proven experience in Python backend engineering with 5+ years of professional experience
Hands-on experience building and operating production-grade GenAI/LLM applications end-to-end
Practical expertise with OpenAI or other LLM APIs in production environments
Strong capability in prompt engineering, agentic workflows, and orchestration patterns
Demonstrated ability to address LLM operational challenges, including latency, retries, fallbacks, observability, and cost optimization
Solid understanding of scalable backend and distributed system architecture
Hands-on experience with CI/CD, DevOps workflows, and Azure cloud environments
Working knowledge of applying GenAI across the SDLC, including AI-assisted development, testing, deployment, and delivery workflows
Practical 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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