Senior Python Engineer for AI-Driven Financial Platform

EPAM Systems; Colombia; A distancia; COP 291.281.000 - 485.468.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. seeks a Senior Python Engineer to build an AI-powered financial assistant platform delivering chat, reporting, and tailored investment interfaces.

You will work in a small, autonomous team to design and deliver production-grade AI features end-to-end. Responsibilities include building Python services with FastAPI, defining scalable system designs, partnering with clients, and establishing evaluation frameworks for LLM quality.

Formación

• 3+ years of professional software engineering with Python.
• Strong hands-on experience with FastAPI or comparable Python web frameworks.
• Experience shipping LLM-based applications and Gen AI workflows.
• Experience with AI evaluation, testing and regression frameworks.
• System design skills for scalable, reliable services.

Responsabilidades

• Design end-to-end AI-assisted features from discovery to production release.
• Build Python services and APIs powering chat, reporting, and interfaces.
• Define scalable, secure, and maintainable system designs.
• Collaborate with client stakeholders to gather requirements.
• Develop evaluation frameworks for LLM quality and automated tests.
• Implement monitoring and failure analysis for AI in production.

Conocimientos

Python

FastAPI

AI/ML concepts

System design

Security fundamentals

Observability

Autonomy

Client collaboration

English proficiency (C1)

Herramientas

AWS

Kubernetes

Terraform

ReactJS

Next.js

Descripción del empleo

EPAM Systems, Inc. seeks a Senior Python Engineer to build an AI-powered financial assistant platform delivering chat, reporting, and tailored investment interfaces.

You will work in a small, autonomous team to design and deliver production-grade AI features end-to-end. Responsibilities include building Python services with FastAPI, defining scalable system designs, partnering with clients, and establishing evaluation frameworks for LLM quality.