We are looking for a Chief Software Engineer to build a next-generation AI-powered financial assistant platform that brings chat, reporting, and bespoke interfaces into sophisticated investment workflows. You will lead hands-on delivery in a small, highly capable team, shaping product direction while iterating quickly with business users.ResponsibilitiesLead end-to-end delivery of an AI-powered financial assistant from design through production rolloutDefine system designs that balance quality, latency, reliability, and cost for AI featuresBuild backend services and APIs in Python using FastAPI to support chat and reporting workflowsImplement AI evaluation and quality engineering with automated tests, regression suites, and monitoringEstablish security controls for AI applications including privacy, access control, auditability, and safe handling of sensitive dataValidate and harden AI behavior in production through failure analysis and iterative improvementsCollaborate directly with business users to gather requirements, refine UX, and ship rapid iterationsReview, test, and verify AI-generated code using Gen AI assisted development and coding agentsCreate guardrails against prompt-injection and other AI-specific risks within production constraintsImprove reliability and maintainability through disciplined engineering practices and clear interfacesContribute to a startup-style environment with lightweight process and high accountabilityPartner with other senior engineers to align technical decisions and deliver cohesive platform outcomesRequirements7+ years of software engineering experience with Python or comparable languagesStrong leadership ability to drive technical direction in a small senior teamStrong ownership mindset to take loosely defined problems from discovery to productionExpert system design skills including edge cases, trade-offs, and scalable architecturesAdvanced Python skills including API and service developmentStrong FastAPI experience or deep experience with comparable Python web frameworksStrong AI engineering skills with Large Language Models (LLM) and Gen AI Assisted DevelopmentStrong AI evaluation skills including automated evals, test datasets, regression testing, and failure analysisStrong AI security knowledge including data privacy, access controls, prompt-injection risks, and guardrailsStrong quality engineering mindset focused on reliability, maintainability, and monitoring in productionStrong performance optimization skills across latency, cost, and throughput for AI applicationsHigh autonomy and self-governance with minimal process and high trustAdvanced English proficiency (C1, Advanced)Flexibility to collaborate across US, LatAm, and CET time zonesWillingness to learn and adopt new technologies rapidly as the AI ecosystem evolvesNice to haveAmazon Web Services experienceKubernetes experienceTerraform experienceReactJS or Next.js experience with TypeScript/JavaScriptNode.js experienceWe 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.