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
  
  

• 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)
  
  

• Amazon Web Services
• Kubernetes
• Terraform
• ReactJS
• Next.js
  
  

• 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