We are looking for a Python Software Engineering Manager to build an AI-powered financial assistant platform. You will partner with a small senior team and technical stakeholders to ship chat, reporting, and bespoke interfaces into investment workflows.ResponsibilitiesCollaborate with a small, highly capable team of hands-on engineers in a startup-style environment with minimal formalityPartner directly with sophisticated technical stakeholders without needing to interface with non-technical clients or usersElicit low-level requirements from high-level task definitions and account for edge cases before implementationDesign systems and deliver production-grade implementations with strong autonomy and self-governanceInfluence product direction and contribute to architecture decisionsBuild and maintain systems using cutting-edge technology without legacy constraintsAdopt new languages and technologies as the team evolves its stackOptimize AI applications across quality, latency, reliability, and costReview, test, and validate AI-generated code produced through coding agentsMonitor AI behavior in production and perform failure analysis and regression testingMaintain a high bar for quality, reliability, security, and maintainability across deliverablesRequirementsProven track record in software development with 8+ years of hands-on experience in Python, React (TS), or other programming languagesStrong willingness and readiness to learn Python quickly if you are not yet proficientHands-on experience with FastAPI or other Python frameworks, plus AWS, Kubernetes, and TerraformHigh autonomy and self-governance to take loosely defined tasks from requirements gathering through design and deliveryComfort working in a startup environment with continuous learning of new languages and technologiesHigh standards for quality and reliability in software deliverySolid experience with FE work, including TS/JS and React/NextJS/NodePractical proficiency in AI-assisted programming methods and tools, including coding agents for code generationBackground in AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysisUnderstanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditabilityAbility to optimize AI applications across quality, latency, reliability, and costCapability to learn and adopt new technologies rapidly as the AI ecosystem evolvesAdvanced proficiency in English (C1+)We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.