AI Platform Software Engineering Manager (Python/FastAPI)

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

Work arrangement
Yes