[Hiring] Chief Python Software Engineer @EPAM Systems

Role Description

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.

• 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.

Qualifications

• 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+).