Chief Software Engineer (AI-Powered Financial Assistant)

We are looking for a Chief Software Engineer to build a next-generation AI-powered financial assistant platform that rapidly iterates with business users to deliver chat, reporting, and bespoke interfaces for investment workflows. You will lead hands-on engineering across design and delivery in a small, high-autonomy team.

Responsibilities

• Lead end-to-end delivery of an AI-powered assistant platform from concept to production

• Design scalable service architectures and define reliability, security, and performance requirements

• Build backend APIs and services in Python using FastAPI to support chat and reporting workflows

• Integrate LLM capabilities and apply AI-assisted development methods to accelerate delivery

• Translate high-level goals into detailed requirements, edge cases, and implementation plans

• Collaborate directly with business users to test, refine, and ship iterative product improvements

• Implement automated testing, observability, and incident-ready practices to maintain quality

• Deploy and operate services using cloud infrastructure and container orchestration

• Review code and enforce engineering standards for maintainability and correctness

• Mentor engineers and drive a culture of accountability, transparency, and excellence

Requirements

• 7+ years of experience in software engineering with advanced Python development

• 7+ years of experience building and shipping backend services using modern frameworks (FastAPI preferred)

• Senior leadership skills to drive technical decisions, set quality bars, and mentor engineers

• Strong project ownership to take loosely defined problems from discovery through delivery

• Expert system design skills to define architecture, edge cases, and reliability strategies

• Strong cloud infrastructure skills with Amazon Web Services in production environments

• Strong platform engineering skills with Kubernetes-based deployments

• Strong infrastructure as code skills with Terraform

• Strong AI engineering skills with Large Language Models (LLM) and Gen AI Assisted Development workflows

• High autonomy and self-governance to gather low-level requirements and deliver independently

• Strong communication skills to collaborate with highly technical stakeholders

• Willingness to learn and adopt new languages and tools in a fast-paced environment

• Advanced English skills (C1)

Nice to have

• Amazon Web Services

• Kubernetes

• Terraform

• ReactJS

• Anthropic Claude Code

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