Senior Python Engineer — AI-Powered Finance Assistant

EPAM Systems; Argentina; Remote; ARS 1,800,000 - 2,600,000; Full time

Job summary

EPAM Systems, Inc. seeks a Senior Python Engineer to build an AI-powered financial assistant platform with chat, reporting and bespoke interfaces. You will design and ship production-grade features end-to-end in a small, autonomous team.

You will lead Python services, apply secure and scalable design principles, and work closely with clients to validate solutions while maintaining high quality and observability across systems.

Qualifications

• 3+ years of professional software engineering experience with Python.
• Hands-on experience with FastAPI or comparable Python web frameworks.
• Proven track record shipping LLM-based applications and Gen AI workflows.
• Strong system design skills for scalable, reliable, secure services.

Responsibilities

• Design end-to-end AI-assisted product features from discovery through production release.
• Build Python services and APIs to power chat, reporting, and interfaces.
• Define system designs addressing scale, reliability, and security requirements.
• Partner with client stakeholders to gather requirements and validate solutions.
• Develop evaluation frameworks for LLM quality and automated tests.
• Implement monitoring, failure analysis, and privacy controls in production.
• Optimize AI solutions for latency, reliability, cost, and quality trade-offs.
• Review and validate AI-generated code from agents and tools.

Skills

Python

FastAPI

LLM/GenAI

System design

Security

Observability

Client collaboration

Tools

AWS

Kubernetes

Terraform

ReactJS

Next.js

Job description

EPAM Systems, Inc. seeks a Senior Python Engineer to build an AI-powered financial assistant platform with chat, reporting and bespoke interfaces. You will design and ship production-grade features end-to-end in a small, autonomous team.

You will lead Python services, apply secure and scalable design principles, and work closely with clients to validate solutions while maintaining high quality and observability across systems.