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Chief Software Engineer - AI-Powered, Python

Remote in Mexico, & 3 others
Advanced Software Engineering& 15 others
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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.

Responsibilities
  • Lead end-to-end delivery of an AI-powered financial assistant from design through production rollout
  • Define system designs that balance quality, latency, reliability, and cost for AI features
  • Build backend services and APIs in Python using FastAPI to support chat and reporting workflows
  • Implement AI evaluation and quality engineering with automated tests, regression suites, and monitoring
  • Establish security controls for AI applications including privacy, access control, auditability, and safe handling of sensitive data
  • Validate and harden AI behavior in production through failure analysis and iterative improvements
  • Collaborate directly with business users to gather requirements, refine UX, and ship rapid iterations
  • Review, test, and verify AI-generated code using Gen AI assisted development and coding agents
  • Create guardrails against prompt-injection and other AI-specific risks within production constraints
  • Improve reliability and maintainability through disciplined engineering practices and clear interfaces
  • Contribute to a startup-style environment with lightweight process and high accountability
  • Partner with other senior engineers to align technical decisions and deliver cohesive platform outcomes
Requirements
  • 7+ years of software engineering experience with Python or comparable languages
  • Strong leadership ability to drive technical direction in a small senior team
  • Strong ownership mindset to take loosely defined problems from discovery to production
  • Expert system design skills including edge cases, trade-offs, and scalable architectures
  • Advanced Python skills including API and service development
  • Strong FastAPI experience or deep experience with comparable Python web frameworks
  • Strong AI engineering skills with Large Language Models (LLM) and Gen AI Assisted Development
  • Strong AI evaluation skills including automated evals, test datasets, regression testing, and failure analysis
  • Strong AI security knowledge including data privacy, access controls, prompt-injection risks, and guardrails
  • Strong quality engineering mindset focused on reliability, maintainability, and monitoring in production
  • Strong performance optimization skills across latency, cost, and throughput for AI applications
  • High autonomy and self-governance with minimal process and high trust
  • Advanced English proficiency (C1, Advanced)
  • Flexibility to collaborate across US, LatAm, and CET time zones
  • Willingness to learn and adopt new technologies rapidly as the AI ecosystem evolves
Nice to have
  • Amazon Web Services experience
  • Kubernetes experience
  • Terraform experience
  • ReactJS or Next.js experience with TypeScript/JavaScript
  • Node.js experience