Lead Python Engineer (AI-Powered Financial Assistant)

EPAM Systems; Argentina; Sur place; ARS 2 400 000 - 3 600 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Professional development programs

Paid time off and sick leave

Global career opportunities

Volunteer and community involvement

Résumé du poste

EPAM Systems is seeking a Lead Python Engineer to own end-to-end delivery of an AI-powered financial assistant platform. You will lead backend design, API development, and LLM-driven workflows in a fast-paced, low-structure environment.

You will mentor senior engineers, drive high-quality code, integrate AI features with strong safeguards, and collaborate with product stakeholders to refine requirements and ship iterative improvements.

Qualifications

• 5+ years of professional software engineering experience with Python.
• Strong leadership and mentoring experience in senior teams.
• Proven system design experience for production backend services and APIs.
• Deep FastAPI experience or equivalent Python web framework experience.
• Hands-on with AI-DLC and Gen AI workflows; strong LLM application knowledge.
• Experience with AI evaluation, regression testing, and quality engineering.
• Security-oriented with privacy, access control, and guardrails awareness.
• Ability to work with vague requirements and deliver with autonomy.
• Excellent product judgment for reliability and maintainability.
• Advanced English proficiency (C1).

Responsabilités

• Lead design and delivery of backend services for an AI-powered financial assistant.
• Define system architecture balancing quality, latency, reliability, and cost for AI features.
• Build production-grade APIs with Python and FastAPI; emphasize testing and observability.
• Implement LLM-powered workflows with safeguards and validation.
• Establish automated AI evaluations, test datasets, and monitoring for model behavior.
• Harden applications with security controls for sensitive data and access management.
• Collaborate with product and business users to refine requirements and iterate.
• Drive code quality through reviews and engineering standards.
• Integrate AI-assisted coding while validating generated code.
• Troubleshoot production issues with disciplined incident response and root-cause analysis.
• Guide technical decisions in a low-process environment while keeping momentum.

Connaissances

Python

Leadership

API design

FastAPI

LLM applications

AI security

English proficiency

Autonomy

Outils

AWS

Kubernetes

Terraform

ReactJS

Next.js

Description du poste

We are seeking a Lead Python Engineer to build a next-generation AI-powered financial assistant platform, rapidly iterating on chat, reporting, and bespoke interfaces used in investment workflows. You will own end-to-end delivery in a small, highly capable team and help shape product direction.

Responsibilities

• Lead design and delivery of backend services for an AI-powered financial assistant
• Define system architecture that balances quality, latency, reliability, and cost for AI features
• Build production-grade APIs using Python and FastAPI with strong testing and observability
• Implement LLM-powered workflows with robust safeguards, validation, and failure handling
• Establish automated AI evaluations, test datasets, regression suites, and monitoring for model behavior
• Harden applications with security controls for sensitive data, auditing, and access management
• Collaborate with product and business users to refine requirements and ship iterative improvements
• Drive code quality through reviews, standards, and maintainable engineering practices
• Integrate AI-assisted programming and coding agents while critically validating generated code
• Troubleshoot production issues with disciplined incident response and root-cause analysis
• Guide technical decisions in a low-process environment and keep delivery momentum high

Requirements

• 5+ years of professional software engineering experience with Python
• Strong technical leadership and mentoring experience in senior engineering teams
• Proven system design experience for production backend services and APIs
• Deep FastAPI experience or strong experience with comparable Python web frameworks
• Hands-on experience with AI-DLC and Gen AI assisted development workflows
• Strong Large Language Models (LLM) application experience, including prompt design and integration patterns
• Proven AI evaluation and quality engineering skills, including automated evals and regression testingli
• Strong AI security knowledge, including privacy, access control, prompt-injection risks, and guardrails
• High autonomy and self-governance skills to deliver from vague requirements through implementation
• Strong product judgment skills to identify edge cases and prioritize reliability and maintainability
• Advanced English proficiency (C1, Advanced)

Nice to have

• Amazon Web Services
• Kubernetes
• Terraform
• ReactJS
• Next.js

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