Back to SearchChief Python Software Engineer
Remote in Argentina, & 3 others
Python.Core& 15 others
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We are seeking a Chief Python Software Engineer to join a small team of senior developers building a next-generation AI-powered financial assistant platform, rapidly iterating with business users to test, refine, and deploy chat, reporting, and bespoke interfaces into investment workflows.
Responsibilities
- Collaborate with a small team of highly competent, hands-on engineers in a startup-style environment with minimal formality
- Work directly with sophisticated, technical stakeholders without the need to interface with non-technical clients or users
- Gather low-level requirements from high-level task definitions and consider edge cases before implementation
- Produce system designs and deliver production-grade implementations with high autonomy and self-governance
- Shape and influence product direction and architecture decisions
- Build and maintain systems using cutting-edge technology without legacy constraints
- Adopt new languages and technologies as the team evolves its stack
- Optimize AI applications across quality, latency, reliability, and cost
- Review, test, and validate AI-generated code produced through coding agents
- Monitor AI behavior in production and conduct failure analysis and regression testing
- Maintain a high bar for quality, reliability, security, and maintainability across deliverables
Requirements
- 7+ years of experience in Python, React (TS), or other programming languages
- Desire and readiness to learn Python if not already proficient
- Experience with FastAPI or other Python frameworks, along with AWS, Kubernetes, and Terraform
- High autonomy and self-governance in handling loosely defined tasks, from requirements gathering to design and delivery
- Readiness to work in a startup environment and continuously learn new languages and technologies
- High bar for quality and reliability in software delivery
- Experience with FE work, including TS/JS, React/NextJS/Node
- Proficiency in AI-assisted programming methods and tools, including coding agents for code generation
- Experience with AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysis
- Understanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditability
- Ability to optimize AI applications across quality, latency, reliability, and cost
- Ability to learn and adopt new technologies rapidly as the AI ecosystem evolves
- Advanced proficiency in English (C1+)