Chief Python Software Engineer

We are seeking a Chief Python Software Engineer to join a small team of senior developers building a next-generation AI-powered financial assistant platform, rapidly iterating with business users to test, refine, and deploy chat, reporting, and bespoke interfaces into investment workflows.

Responsibilities Collaborate with a small team of highly competent, hands-on engineers in a startup-style environment with minimal formality

Work directly with sophisticated, technical stakeholders without the need to interface with non-technical clients or users

Gather low-level requirements from high-level task definitions and consider edge cases before implementation

Produce system designs and deliver production-grade implementations with high autonomy and self-governance

Shape and influence product direction and architecture decisions

Build and maintain systems using cutting-edge technology without legacy constraints

Adopt new languages and technologies as the team evolves its stack

Optimize AI applications across quality, latency, reliability, and cost Review, test, and validate AI-generated code produced through coding agents

Monitor AI behavior in production and conduct failure analysis and regression testing

Maintain a high bar for quality, reliability, security, and maintainability across deliverables

Requirements7+ years of experience in Python, React (TS), or other programming languages

Desire and readiness to learn Python if not already proficient

Experience with FastAPI or other Python frameworks, along with AWS, Kubernetes, and Terraform High autonomy and self-governance in handling loosely defined tasks, from requirements gathering to design and delivery

Readiness to work in a startup environment and continuously learn new languages and technologies

High bar for quality and reliability in software delivery

Experience with FE work, including TS/JS, React/NextJS/Node Proficiency in AI-assisted programming methods and tools, including coding agents for code generation

Experience with AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysis

Understanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditability

Ability to optimize AI applications across quality, latency, reliability, and cost Ability to learn and adopt new technologies rapidly as the AI ecosystem evolves

Advanced proficiency in English (C1+)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 Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked

InEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.