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 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.

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

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)

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.