We are searching for a Senior nAI Engineer to become part of our team.

This role puts you in charge of the entire development, deployment, and operational journey of enterprise-grade AI-powered applications.

It draws together backend engineering, LLM integration, cloud infrastructure, and AI platform operations to bring scalable GenAI solutions into live production settings.

You will team up with AI/DS, Product, and Dev

Ops groups to construct and expand AI-driven applications, safeguarding reliability, observability, performance optimization, and operational excellence throughout the entire AI SDLC.

This position further includes backing GenAI-assisted development approaches, aiding in the growth of the client's enterprise AI SDLC processes, participating in AI Beauty Chat initiatives via agentic micro-pod delivery models, and handling System Steward obligations across AI platform efforts.

Responsibilities

Craft, build, launch, and support backend services that drive AI/LLM-powered applications

Assume complete responsibility for GenAI feature delivery, starting from initial development all the way to production support

Link and administer LLM APIs, such as OpenAI, inside enterprise production settings

Build out APIs, orchestration layers, and microservices to power agentic AI workflows

Adjust LLM systems to improve latency, resiliency, retry handling, fallback logic, and cost management

Configure CI/CD pipelines along with observability, monitoring, and logging capabilities for AI services

Team up with AI/DS, Product, Dev

Ops, and platform groups to ease delivery and reinforce reliability

Function within Azure cloud settings and distributed systems, spanning Redis, Kafka, and SQL/NoSQL databases

Support MCP integrations, agentic memory efforts, and AI orchestration frameworks





Promote GenAI-assisted development approaches and contribute to scaling the client's AI SDLC processes

Play a role in AI Beauty Chat delivery through agentic micro-pod execution models

Handle System Steward obligations within agentic micro-pods

Requirements

At least 3 years of experience relevant to this role

Primary specialization in AI Engineering with an emphasis on backend systems

Strong background in Python for backend engineering

Proven experience delivering and running production-grade GenAI/LLM applications from end to end

Direct, hands-on work with OpenAI or comparable LLM APIs within production contexts

Proficiency in prompt engineering along with various orchestration techniques

Experience tackling operational issues tied to LLMs, covering latency, retries, fallback strategies, observability, and cost efficiency

Firm grasp of distributed system design and scalable backend architecture

Background in CI/CD practices, Dev

Ops processes, and Azure cloud platforms

Experience weaving GenAI into the SDLC, including AI-assisted coding, testing, deployment, and release workflows

Practical familiarity with SQL/NoSQL databases, Redis, and Kafka

Strong ability to communicate clearly and effectively

Excellent English proficiency (B2 level or higher)Nice to have

Background working with agentic workflow patterns

Practical exposure to Databricks and MCPWe 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 Linked

In Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Senior GenAI Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina