Senior Python Backend Engineer, Financial Systems at BriteCore – Buenos Aires, Buenos Aires
BriteCore
Buenos Aires, Buenos Aires, C1000, Argentina
Posted on
Updated on
Job Function:Information Technology
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About This Position
Senior Python Backend Engineer, Financial Systems
What you'll do
AI for Makers
We're Makers. In 2025, we set out to build something most teams only talk about. We embedded AI so deeply into our development workflows that we were over 10x more productive. Being on the bleeding edge isn't a strategy here. It's who we are.
We don't talk about the future of engineering. We're living it.
Logistics
This is a fully remote based role, however candidates must be located in Argentina or Brazil. Note: this is a long-term Independent Contractor position.
We're Makers. In 2025, we set out to build something most teams only talk about. We embedded AI so deeply into our development workflows that we were over 10x more productive. Being on the bleeding edge isn't a strategy here. It's who we are.
We don't talk about the future of engineering. We're living it.
Logistics
This is a fully remote based role, however candidates must be located in Argentina or Brazil. Note: this is a long-term Independent Contractor position.
Please submit your resume in English.
Our tools & stack
Our tools & stack
- Python, MySQL, AWS
- Claude, Codex, Cursor, Copilot, LangChain, LangGraph, LangFuse, OpenRouter, FastMCP
- Design and ship production grade AI agents for financial insurance workflows where latency, observability and reliability are non-negotiable
- Shape the architecture of a financial platform complex enough to challenge even the best engineers
- Partner with product to ship secure, user friendly features that tackle complex models and calculations
- Own the creation and maintenance of unit tests, using AI assisted testing to increase coverage and reduce defect rates
- Solve performance, scalability, and reliability challenges that keep our systems running at peak efficiency
- Work with a team that gets genuinely excited about what they're building and can't wait to share it
- Actively track emerging financial AI tooling and bring concrete recommendations back to the team
- Bachelor’s Degree or higher in Computer Science or a related field
- 5+ years of experience in Python web development, particularly with financial systems or modules
- 3+ years with SQL databases (e.g., MySQL, PostgreSQL)
- 3+ years of SaaS product development, including cloud based solutions
- 3+ years of hands on experience with Django or another Python framework
- 2+ years of proven experience building and consuming APIs for financial transactions
- Daily, deliberate use of agentic AI coding tools such as: Claude, Cursor, Codex
- Proven ability to direct AI agents on multi file, long horizon tasks
- Advanced mathematical skills in financial modeling, algorithms, and data processing
- Hands on experience with frontend frameworks like Vue.js or React
- Professional experience working with Docker for containerization and AWS
- Excellent verbal and written communication skills
- 2+ years of experience working at a scaling startup
- Experience with spec driven development: using AI to generate tests, scaffolding or architecture from requirements
- Hands on experience building production AI agents or multi-step LLM pipelines using LangChain, LangGraph, or equivalent orchestration frameworks
- Proven use of Agent Teams in Claude Code, multi agent orchestration via Codex, or similar parallel agentic workflows
- Experience working in the fintech or financial services vertical
Life at BriteCore
We take pride in our dynamic, diverse team, unified by shared values of community, integrity, grit and impact. We love what we do and the people we do it with, which is why we welcome every individual, provide them with equal opportunity irrespective of their race, color, national origin, religion, age, gender identity, sexual orientation, veteran, disability or any other legally protected rights that one has.
Click here to learn more about our platform.
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Job Location
Buenos Aires, Buenos Aires, C1000, Argentina
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