We are seeking a Lead Python Engineer to build a next-generation AI-powered financial assistant platform, rapidly iterating on chat, reporting, and bespoke interfaces used in investment workflows. You will own end-to-end delivery in a small, highly capable team and help shape product direction. Responsibilities Lead design and delivery of backend services for an AI-powered financial assistant Define system architecture that balances quality, latency, reliability, and cost for AI features Build production-grade APIs using Python and Fast API with strong testing and observability Implement LLM-powered workflows with robust safeguards, validation, and failure handling Establish automated AI evaluations, test datasets, regression suites, and monitoring for model behavior Harden applications with security controls for sensitive data, auditing, and access management Collaborate with product and business users to refine requirements and ship iterative improvements Drive code quality through reviews, standards,
and maintainable engineering practices Integrate AI-assisted programming and coding agents while critically validating generated code Troubleshoot production issues with disciplined incident response and root-cause analysis Guide technical decisions in a low-process environment and keep delivery momentum high Requirements5+ years of professional software engineering experience with Python Strong technical leadership and mentoring experience in senior engineering teams Proven system design experience for production backend services and APIs Deep Fast API experience or strong experience with comparable Python web frameworks Hands-on experience with AI-DLC and Gen AI assisted development workflows Strong Large Language Models (LLM) application experience, including prompt design and integration patterns Proven AI evaluation and quality engineering skills, including automated evals and regression testing Strong AI security knowledge, including privacy, access control, pr
📌 Lead python engineer (México)
🏢 Epam Systems
📍 México
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