Senior AI Engineer - Finance Platform, Remote

EPAM Systems; McLean (VA); Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical Insurance

401(k) retirement

Paid time off 15-25 days

LinkedIn learning access

Stock Purchase Program

Job summary

EPAM Systems is seeking a Lead Software Engineer with 7+ years of experience to join a high-caliber product team building a next-generation AI-powered financial assistant platform. You will work with global institutional clients to rapidly test, refine, and deploy chat interfaces, reporting systems, and bespoke tools into investment workflows.

Join a small, autonomous engineering team in a startup-like environment with zero legacy code, where you can directly shape a cutting-edge product and

Qualifications

• 7+ years of software engineering experience with senior/lead autonomy.
• Strong proficiency in Python and/or React (TypeScript).
• Experience with FastAPI, AWS, Kubernetes, and Terraform.
• Frontend knowledge: TypeScript/JavaScript, React, Next.js, or Node.

Responsibilities

• Architect and build AI-powered financial assistant workflows and interfaces.
• Gather requirements, design systems, and implement production code independently.
• Integrate AI applications focusing on quality, latency, reliability, and cost.
• Maintain high standards for security, privacy, and maintainability.
• Leverage AI-assisted programming tools and review AI-generated code.
• Handle AI evaluation, test datasets, regression testing, and monitoring.
• Navigate AI security, access control, and guardrails.
• Continuously learn new technologies as the AI ecosystem evolves.

Skills

Python

React (TypeScript)

FastAPI

AWS

Kubernetes

Terraform

Frontend development

AI-assisted tools

Next.js

TypeScript

Node.js

Tools

Next.js

TypeScript

Node.js

Job description

EPAM Systems is seeking a Lead Software Engineer with 7+ years of experience to join a high-caliber product team building a next-generation AI-powered financial assistant platform. You will work with global institutional clients to rapidly test, refine, and deploy chat interfaces, reporting systems, and bespoke tools into investment workflows.

Join a small, autonomous engineering team in a startup-like environment with zero legacy code, where you can directly shape a cutting-edge product and