Back to SearchLead Python Engineer (AI-Powered Financial Assistant)
Remote in Mexico, & 3 others
Python.Core& 15 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
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 FastAPI 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
Requirements
- 5+ 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 FastAPI 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, prompt-injection risks, and guardrails
- High autonomy and self-governance skills to deliver from vague requirements through implementation
- Strong product judgment skills to identify edge cases and prioritize reliability and maintainability
- Advanced English proficiency (C1, Advanced)
Nice to have
- Amazon Web Services
- Kubernetes
- Terraform
- ReactJS
- Next.js