AI Platform Engineering Lead for Production Systems

EPAM Systems; Argentina; On-site; ARS 181,906,000 - 272,860,000; Full time

Benefits offered by this job

Healthcare benefits

Unlimited LinkedIn Learning access

Global career opportunities

Paid time off and sick leave

Job summary

EPAM Systems in Argentina is seeking an AI Platform Software Engineering Manager to build a next-generation AI-powered financial assistant platform. You will lead a small, highly capable team to shape production systems end-to-end from problem discovery through design, delivery, and reliability.

You will design end-to-end systems, build Python services and FastAPI APIs, balance quality, latency, reliability, and cost, and establish AI evaluation and security guardrails.

Qualifications

• 8+ years of software engineering experience with Python or comparable languages.
• Strong FastAPI experience building production APIs and services.
• Strong forward deployed engineering experience working closely with business users.
• Proven leadership skills to drive technical direction and uphold engineering standards.
• Strong system design skills to define architecture from high-level problem statements.
• Strong AI evaluation and quality engineering skills including automated evals and regression testing.
• Strong AI security knowledge including data privacy, access control, and prompt-injection defenses.
• Strong autonomy and self-governance skills to execute with minimal process.
• High quality mindset focused on reliability, maintainability, and production readiness.
• Advanced English proficiency (C1, Advanced) for clear collaboration and documentation.

Responsibilities

• Design end-to-end systems for an AI-powered assistant from loosely defined goals.
• Build Python services and APIs using FastAPI for production workloads.
• Deliver production implementations balancing quality, latency, reliability, and cost.
• Define evaluation approaches for AI features using automated tests, datasets, and regression suites.
• Implement monitoring and failure analysis workflows to validate AI behavior in production.
• Apply security controls for AI systems including guardrails, auditability, and safe data handling.
• Collaborate with business users to gather requirements, validate assumptions, and refine solutions.
• Review and validate AI-generated code from coding agents to ensure correctness and safety.
• Drive technical decisions in a low-formality environment and keep delivery moving.
• Maintain a high bar for reliability, security, and maintainability across the codebase.

Skills

Python

FastAPI

Leadership

System design

AI evaluation

AI security

Autonomy

Reliability

English proficiency

Tools

AWS

Kubernetes

Terraform

ReactJS

Anthropic Claude Code

Job description

EPAM Systems in Argentina is seeking an AI Platform Software Engineering Manager to build a next-generation AI-powered financial assistant platform. You will lead a small, highly capable team to shape production systems end-to-end from problem discovery through design, delivery, and reliability.

You will design end-to-end systems, build Python services and FastAPI APIs, balance quality, latency, reliability, and cost, and establish AI evaluation and security guardrails.