Senior Python AI Engineer

EPAM Systems; Argentina; On-site; ARS 136,430,000 - 197,065,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems is seeking a Senior Python AI Engineer to create dependable AI solutions that transform business challenges into real value for end users. You will own production implementations across agentic architectures, RAG, prompt engineering, and guardrails with strong observability and security.

Responsibilities include architecting scalable data-driven applications, collaborating with cross-functional teams, and guiding junior engineers while driving long-term technical direction.

Qualifications

• 3+ years hands-on Python software engineering focused on production AI systems.
• Experience with stateful multi-agent workflows and orchestration.

Responsibilities

• Architect scalable software solutions for intelligent, data-driven applications.
• Translate complex concepts into practical systems meeting organizational goals.
• Coordinate with cross-functional teams to define requirements and deliver quality solutions.
• Develop clean, maintainable, well-documented code following industry best practices.
• Resolve issues across the full software development lifecycle.
• Conduct code reviews and provide constructive feedback to engineers.
• Investigate emerging technologies and propose improvements to existing systems.
• Drive architectural decisions shaping long-term technical direction of projects.
• Guide junior team members and share knowledge across the organization.
• Build solutions with scalability, performance, and maintainability as core principles.

Skills

Python

AI systems

Multi-agent workflows

English communication

Tools

LangChain

LangGraph

CrewAI

Google ADK

AWS Strands Agents SDK

MCP integrations

RAG pipelines

prompt engineering

guardrails

Job description

We are looking for a Senior Python AI Engineer to create dependable AI solutions that turn business challenges into real value for end users. You will own production implementations across agentic architectures, RAG, prompt engineering, and guardrails with strong observability and security.

Responsibilities

• Architect scalable software solutions for intelligent, data-driven applications
• Translate complex technical concepts into practical systems that meet organizational goals
• Coordinate with cross-functional teams to define technical requirements and deliver high-quality solutions
• Develop clean, maintainable, and well-documented code following industry best practices
• Resolve technical issues across the full software development lifecycle
• Conduct code reviews and give constructive feedback to fellow engineers
• Investigate emerging technologies and recommend improvements to existing systems
• Drive architectural decisions that shape the long-term technical direction of projects
• Guide junior team members and share technical knowledge across the organization
• Build solutions with scalability, performance, and maintainability as core principles

Requirements

• Strong background with 3+ years of hands-on Python software engineering focused on designing, building, and running reliable Artificial Intelligence systems and intelligent applications in production
• Deep expertise in architecting and implementing stateful multi-agent workflows, autonomous agentic systems, and multi-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and the AWS Strands Agents SDK
• Practical experience delivering Model Context Protocol (MCP) integrations
• Hands-on experience building and maintaining Retrieval-Augmented Generation (RAG) pipelines
• Advanced capability in prompt engineering to optimize language model interactions
• Experience putting guardrails in place to ensure safe and controlled AI system behavior
• Familiarity with knowledge graphs and their application in AI-driven systems
• Experience integrating foundation models through AWS Bedrock and GCP Vertex AI
• Ability to enforce robust evaluation, observability, and security practices across production AI deployments
• Decent communication skills with working English fluency (B2 level or higher) to capture business requirements and translate them into agentic architectures

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