Senior GenAI Engineer

EPAM Systems; Argentina; On-site; ARS 3,000,000 - 4,500,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certs

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

EPAM Employee Groups

Award-winning culture

Job summary

EPAM Systems is seeking a Senior GenAI Engineer to join our team in Argentina. The role focuses on building GenAI-powered capabilities, including LLM integrations, MCP tooling, and agentic workflows, across a full stack from backend services to UI.

You will collaborate with designers, product managers, and engineers to deliver streaming interactions, tool execution, and structured outputs while maintaining quality and evolving the platform to meet deadlines.

Qualifications

• Minimum 3 years hands-on professional experience.
• Experience building applications powered by LLM providers such as Claude or OpenAI.
• Hands-on experience with Model Context Protocol (MCP), including designing tool schemas and MCP servers.
• Experience designing multi-step agentic workflows, including tool use, orchestration logic, and safety guardrails.
• Strong full-stack background: React/TypeScript frontend with Python/FastAPI or Node.js backend.
• Experience integrating LLM provider APIs, including streaming responses, function/tool calls, and structured outputs.
• Solid English skills (B2 level or higher).

Responsibilities

• Take part in the full lifecycle of feature development from concept through deployment and support.
• Translate business requirements into technical solutions.
• Build intuitive, responsive user interfaces delivering smooth end-user experience.
• Develop and maintain backend services powering core functionality.
• Collaborate with designers, product managers, and engineers to shape product direction.
• Troubleshoot and resolve performance, stability, and usability issues.
• Participate in code reviews to maintain high quality.
• Document technical decisions and workflows for team knowledge sharing.
• Estimate effort and timelines and communicate progress to stakeholders.
• Stay current with emerging tools and approaches and propose improvements.

Skills

LLM integrations

MCP tooling

Agentic workflows

Full-stack React TypeScript

Python/FastAPI

Node.js

English B2+

Streaming APIs

Tools

Claude/OpenAI MCPs

Job description

We're looking for a Senior GenAI Engineer to join our team. The project involves the development of a sophisticated user interface utilizing the Saffron UI framework, aimed at enhancing user experience through seamless integration with backend services and APIs. The goal is to meet ambitious targets while adapting to evolving project requirements and deadlines. The role will focus on building and evolving GenAI-powered application capabilities, including LLM integrations, MCP-based tooling, and agentic workflows. The engineer will contribute across the full application stack, developing AI-enabled backend services and user experiences that support streaming interactions, tool execution, structured outputs, and human-in-the-loop workflows.

Responsibilities

• Take part in the full lifecycle of feature development, from initial concept through deployment and ongoing support
• Translate business and product requirements into well-structured technical solutions
• Build and maintain intuitive, responsive user interfaces that deliver a smooth end-user experience
• Develop and maintain backend services that power core application functionality
• Work closely with designers, product managers, and fellow engineers to shape product direction
• Troubleshoot and resolve issues affecting application performance, stability, and usability
• Take part in code reviews to maintain high standards of quality and consistency across the codebase
• Document technical decisions, workflows, and system behavior to support team knowledge sharing
• Estimate effort and timelines for assigned tasks and communicate progress to stakeholders
• Stay current with emerging tools and approaches, recommending improvements to existing practices

Requirements

• A minimum of three years of hands-on, relevant professional experience
• Practical experience building applications powered by LLM providers such as Claude, OpenAI, or similar platforms
• Hands-on experience with Model Context Protocol (MCP), including designing tool schemas and building or modifying MCP servers
• Experience designing multi-step agentic workflows, encompassing tool use, orchestration logic, and safety guardrails
• Strong full-stack development background, combining React and TypeScript on the frontend with Python/FastAPI or Node.js on the backend
• Experience integrating LLM provider APIs, including handling streaming responses, function/tool calling, and structured output formats
• Solid communication skills with working English fluency at B2 level or above, enabling clear understanding of business requirements and their translation into agentic architectures

Nice to have

• Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including retrieval methods and chunking strategies
• Familiarity with vector database technologies such as Pinecone, Weaviate, or pgvector for storing and retrieving embeddings
• Experience building AI-native UI patterns, including streaming response displays, tool-call visualization, and human-in-the-loop interaction states
• Background in eval-driven development using BrainTrust or comparable evaluation frameworks and tooling
• Experience managing prompt versioning and conducting regression testing against defined evaluation sets

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