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

Requirements

• 7+ 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 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