Chief software engineer - ai-powered, python

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