AI Platform Software Engineering Manager (Python/FastAPI)

EPAM Systems; United States; Remote; MXN 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Healthcare benefits

LinkedIn Learning access

Global career opportunities

Job summary

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

The role requires 8+ years in software engineering with Python, strong FastAPI production experience, and leadership to drive engineering standards. Collaboration with business users and security-focused design are essential.

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 that balance 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

English (C1)

Tools

AWS

Kubernetes

Terraform

ReactJS

Anthropic Claude Code

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking an AI Platform Software Engineering Manager to build a next-generation AI-powered financial assistant platform and need a hands-on senior engineer to shape production systems end-to-end. You will work in a small, highly capable team to iterate quickly from problem discovery through design, delivery, and reliability.

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 that balance 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

Requirements

• 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

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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.