Senior GenAI Engineer

EPAM Systems; Brasil; Presencial; BRL 403 632 - 605 449; Tempo integral

Vantagens oferecidas por esta oferta de emprego

International projects with top brands

Paid time off and sick leave

Upskilling and certification courses

Access to LinkedIn Learning library

Global career opportunities

Resumo da oferta

EPAM Systems is seeking a Senior GenAI Engineer in Brazil to drive the delivery of backend services for AI applications. The role involves designing backend solutions, integrating LLM APIs, and ensuring operational excellence across production environments.

Ideal candidates should have over 3 years of Python backend engineering experience, proven expertise with production-grade GenAI applications, and hands-on knowledge of Azure and CI/CD workflows.

Qualificações

• 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.
• Demonstrated ability to manage LLM operational challenges such as latency and cost optimization.

Responsabilidades

• Design and build backend services for AI/LLM-powered applications.
• Own end-to-end delivery of GenAI features from implementation through production.
• Integrate and operate LLM APIs in enterprise-grade production environments.
• Develop APIs, orchestration layers, and microservices for agentic AI workflows.

Conhecimentos

Python backend engineering

Production-grade GenAI/LLM applications

Prompt engineering

Azure cloud environments

CI/CD and DevOps workflows

SQL/NoSQL databases

Redis

Kafka

Descrição da oferta de emprego

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

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• 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