AI-Powered Finance Platform Engineering Manager

EPAM Systems, Inc.

United States

Remote

USD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Healthcare benefits
Paid time off
Learning & development
Global career opportunities

Job summary

EPAM Systems, Inc. is seeking an Advanced Software Engineering Manager to lead end-to-end delivery of an AI-powered financial assistant platform. You will design backend services, build APIs with Python FastAPI, and integrate LLM capabilities for investment workflows.

You will own system design decisions, work with business users, and drive delivery in a high-autonomy environment while maintaining quality through testing and robust error handling.

Qualifications

  • ,

Responsibilities

  • Design end-to-end solutions for an AI-powered financial assistant platform from ambiguous problem statements
  • Build backend services and APIs in Python using FastAPI with production-grade reliability
  • Integrate LLM capabilities to deliver chat, reporting, and bespoke interfaces for investment workflows
  • Own system design decisions, evaluate edge cases, and define low-level requirements with stakeholders
  • Deploy and iterate quickly based on feedback from sophisticated business users
  • Ensure quality through testing strategies, monitoring considerations, and robust error handling
  • Collaborate with a small team of hands-on engineers to ship features with minimal process overhead

Skills

Python development
FastAPI
LLM experience
Gen AI development
Autonomy
English proficiency
APIs design
Unit testing
Monitoring & reliability

Tools

AWS
Kubernetes
Terraform
ReactJS
Anthropic Claude

Job description

EPAM Systems, Inc. is seeking an Advanced Software Engineering Manager to lead end-to-end delivery of an AI-powered financial assistant platform. You will design backend services, build APIs with Python FastAPI, and integrate LLM capabilities for investment workflows.

You will own system design decisions, work with business users, and drive delivery in a high-autonomy environment while maintaining quality through testing and robust error handling.

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