Chief Python Engineer

EPAM Systems; Argentina; Hybrid; ARS 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Healthcare benefits

Upskilling, certification courses

Unlimited LinkedIn Learning access

Global career opportunities

Volunteer and community involvement

Employee Groups

Award-winning culture

Job summary

EPAM Systems is seeking a Chief Python Engineer to architect an AI-powered financial assistant platform. You will lead a small, autonomous team delivering production-grade Python services using FastAPI and shaping architecture, quality, and delivery across client workflows.

You will drive AI evaluation, implement security controls, and monitor production systems while mentoring engineers and coordinating delivery in a fast-moving environment.

Qualifications

• 7+ years of Python experience delivering production systems.
• Senior leadership experience driving technical direction and mentoring engineers.
• Strong system design skills for scalable, secure services.
• Deep FastAPI experience or strong proficiency with equivalent Python frameworks.
• Expert AI evaluation and quality engineering skills including automated evals and regression testing.
• Advanced AI security knowledge including privacy, access control, and prompt-injection mitigations.
• High autonomy and self-governance skills with loosely defined problem spaces.
• Strong product judgment and edge‑case thinking in fast‑moving environments.
• High quality standards for reliability, maintainability, and observability.
• Advanced English proficiency (C1, Advanced).

Responsibilities

• Design end-to-end architectures for an AI-powered financial assistant platform.
• Build production-grade Python services and APIs using FastAPI.
• Define evaluation strategies and test datasets to measure model quality and regressions.
• Implement monitoring and failure analysis to detect and triage AI issues in production.
• Establish security controls for sensitive data, access, and prompt-injection risks.
• Optimize systems for quality, latency, reliability, and cost tradeoffs.
• Partner with business users to gather requirements and validate solutions through rapid iteration.
• Review, test, and validate AI-generated code from coding agents and assisted workflows.
• Drive engineering standards for reliability, maintainability, and code quality.
• Coordinate delivery in a low-formality environment with minimal process overhead.

Skills

Python

Leadership

System design

FastAPI

AI evaluation

AI security

Autonomy

Product judgment

Observability

English (C1)

Tools

Kubernetes

AWS

Terraform

ReactJS

Anthropic Claude Code

Job description

We are looking for a Chief Python Engineer to build a next-generation AI-powered financial assistant platform and need a highly autonomous senior engineer to shape architecture, quality, and delivery. You will work in a small, high-competence team to rapidly iterate on chat, reporting, and bespoke interfaces for client workflows.

Responsibilities

• Design end-to-end architectures for an AI-powered financial assistant platform
• Build production-grade Python services and APIs using FastAPI
• Define evaluation strategies and test datasets to measure model quality and regressions
• Implement monitoring and failure analysis to detect and triage AI issues in production
• Establish security controls for sensitive data, access, and prompt-injection risks
• Optimize systems for quality, latency, reliability, and cost tradeoffs
• Partner with business users to gather requirements and validate solutions through rapid iteration
• Review, test, and validate AI-generated code from coding agents and assisted workflows
• Drive engineering standards for reliability, maintainability, and code quality
• Coordinate delivery in a low-formality environment with minimal process overhead

Requirements

• 7+ years of Python experience delivering production systems
• Senior leadership experience driving technical direction and mentoring engineers
• Strong system design skills for scalable, secure services
• Deep FastAPI experience or strong proficiency with equivalent Python frameworks
• Expert AI evaluation and quality engineering skills including automated evals and regression testing
• Advanced AI security knowledge including privacy, access control, and prompt-injection mitigations
• High autonomy and self-governance skills with loosely defined problem spaces
• Strong product judgment and edge‑case thinking in fast‑moving environments
• High quality standards for reliability, maintainability, and observability
• Advanced English proficiency (C1, Advanced)

Nice to have

• Amazon Web Services
• Kubernetes
• Terraform
• ReactJS
• Anthropic Claude Code

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