Lead Python Engineer (AI-Powered Financial Assistant)

We are seeking a Lead Python Engineer to build a next-generation AI-powered financial assistant platform, rapidly iterating on chat, reporting, and bespoke interfaces used in investment workflows. You will own end-to-end delivery in a small, highly capable team and help shape product direction.

Responsibilities

• Lead design and delivery of backend services for an AI-powered financial assistant

• Define system architecture that balances quality, latency, reliability, and cost for AI features

• Build production-grade APIs using Python and FastAPI with strong testing and observability

• Implement LLM-powered workflows with robust safeguards, validation, and failure handling

• Establish automated AI evaluations, test datasets, regression suites, and monitoring for model behavior

• Harden applications with security controls for sensitive data, auditing, and access management

• Collaborate with product and business users to refine requirements and ship iterative improvements

• Drive code quality through reviews, standards, and maintainable engineering practices

• Integrate AI-assisted programming and coding agents while critically validating generated code

• Troubleshoot production issues with disciplined incident response and root-cause analysis

• Guide technical decisions in a low-process environment and keep delivery momentum high

Requirements

• 5+ years of professional software engineering experience with Python

• Strong technical leadership and mentoring experience in senior engineering teams

• Proven system design experience for production backend services and APIs

• Deep FastAPI experience or strong experience with comparable Python web frameworks

• Hands-on experience with AI-DLC and Gen AI assisted development workflows

• Strong Large Language Models (LLM) application experience, including prompt design and integration patterns

• Proven AI evaluation and quality engineering skills, including automated evals and regression testing

• Strong AI security knowledge, including privacy, access control, prompt-injection risks, and guardrails

• High autonomy and self-governance skills to deliver from vague requirements through implementation

• Strong product judgment skills to identify edge cases and prioritize reliability and maintainability

• Advanced English proficiency (C1, Advanced)

Nice to have

• Amazon Web Services

• Kubernetes

• Terraform

• ReactJS

• Next.js

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