Senior Python Engineer (AI-Powered Financial Assistant)

We are seeking a Senior Python Engineer to build a next-generation AI-powered financial assistant platform that brings chat, reporting, and tailored interfaces into investment workflows. You will work in a small, highly competent team with high autonomy to design and deliver production-grade AI features end-to-end.

Responsibilities

• Design end-to-end AI-assisted product features from discovery through production release
• Build Python services and APIs using FastAPI to power chat, reporting, and bespoke interfaces
• Define system designs that address scale, reliability, security, and maintainability requirements
• Partner with sophisticated client stakeholders to gather requirements and validate solutions
• Develop evaluation frameworks for LLM quality, including test datasets and automated regressions
• Implement monitoring and failure analysis workflows to detect and diagnose AI behavior in production
• Harden AI applications with security controls against privacy risks and prompt-injection attacks
• Optimize AI solutions for quality, latency, reliability, and cost in real-world usage
• Review, test, and validate AI-generated code from coding agents and AI-assisted tools
• Ship iterative improvements quickly based on feedback while preserving a high quality bar
  
  

• 3+ years of professional software engineering experience with Python or similar languages
• Strong hands-on experience with FastAPI or comparable Python web frameworks
• Proven experience with forward deployed engineering in close partnership with clients
• Demonstrated experience shipping LLM-based applications and Gen AI assisted development workflows
• Experience with AI evaluation and quality engineering including automated evals and regression testing
• Strong system design skills for scalable, reliable, secure services
• High ownership and autonomy with ability to take loosely defined problems to production delivery
• Strong product judgment with ability to gather requirements and identify edge cases
• Strong quality mindset focused on reliability, maintainability, and observability
• Strong security fundamentals for sensitive data including access control and privacy practices
• Strong optimization skills across latency, reliability, cost, and model quality trade-offs
• Strong collaboration and communication skills in low-formality startup-like environments
• Advanced English proficiency (C1, Advanced)
  
  

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

• 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