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

Requirements

• 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)

Nice to have

• Amazon Web Services experience

• Kubernetes experience

• Terraform experience

• ReactJS experience

• Next.js experience

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