Senior GenAI Engineer: Backend & AI Platform Lead

EPAM Systems Inc; Argentina; A distancia; ARS 138.361.000 - 215.229.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certif ica

LinkedIn Learning access

Global career opportunities

Volunteer and community involvement

EPAM Employee Groups

Award-winning culture

Descripción de la vacante

EPAM Systems Inc. seeks a Senior nAI Engineer to own the end-to-end lifecycle of GenAI-powered applications. You will design, build, and deploy backend services, integrate LLM APIs in production, and optimize latency, reliability, and costs within Azure and distributed systems such as Redis and Kafka.

You will work with AI/DS, Product, DevOps, and platform teams to scale AI capabilities, support CI/CD, and advance the client’s AI SDLC with cutting-edge approaches and robust observability.

Formación

• 3+ years delivering GenAI/LLM apps in production.
• Strong Python backend experience.
• Experience with OpenAI or similar LLM APIs.
• Proficient in prompt engineering.
• Familiar with CI/CD and Azure.
• Excellent English communication.

Responsabilidades

• Craft, build, launch, and support backend services that drive AI/LLM-powered applications.
• Assume complete responsibility for GenAI feature delivery from development to production support.
• Link and administer LLM APIs, such as OpenAI, inside enterprise production settings.
• Build out APIs, orchestration layers, and microservices for agentic AI workflows.
• Improve LLM latency, resiliency, retries, fallback logic, and cost management.
• Configure CI/CD, observability, monitoring, and logging for AI services.
• Collaborate with AI/DS, Product, DevOps, and platform groups to ease delivery and reliability.

Conocimientos

Python backend

GenAI / LLM

OpenAI API

Cloud platforms (Azure)

Distributed systems

CI/CD

Observability & monitoring

Performance optimization

DevOps collaboration

Herramientas

OpenAI API

Azure

Redis

Kafka

SQL/NoSQL databases

Databricks

Descripción del empleo

EPAM Systems Inc. seeks a Senior nAI Engineer to own the end-to-end lifecycle of GenAI-powered applications. You will design, build, and deploy backend services, integrate LLM APIs in production, and optimize latency, reliability, and costs within Azure and distributed systems such as Redis and Kafka.

You will work with AI/DS, Product, DevOps, and platform teams to scale AI capabilities, support CI/CD, and advance the client’s AI SDLC with cutting-edge approaches and robust observability.