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Lead Python Engineer (AI-Powered Financial Assistant)

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Mentorship
  • Collaboration
  • Troubleshooting (Problem Solving)

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

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

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