Senior Python Backend Engineer

BriteCore; Ciudad de Mendoza; Presencial; ARS 123.227.383 - 225.916.869; Jornada completa

Descripción de la vacante

BriteCore is seeking an experienced Senior Python Backend Engineer for a fully remote, long-term Independent Contractor role. You must be located in Argentina or Brazil and submit your resume in English. You'll build scalable backend systems, APIs, and AI-enabled tooling that power our platform and customers.

Join a cutting-edge team using Python, Django, and cloud-based SaaS solutions. You’ll work on multi-tenant infrastructure, integration layers, and public APIs, with a focus on delivering

Formación

• Bachelor’s Degree or higher in Computer Science or a related field.
• 5+ years of Python web development experience.
• 3+ years with SQL databases (e.g., MySQL, PostgreSQL).
• 3+ years 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.
• 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.
• Hands on experience with frontend frameworks like Vue.js or React.
• Professional experience working with Docker for containerization and AWS.

Responsabilidades

• Push production AI agents into the platform's most complex flows. Build the MCP servers that orchestrate them: tool layer, context handling, model routing through OpenRouter.
• Build the integration layer that powers the platform and the AI agents on top of it: identity, e-signature, real time data services. Every call has a user or an agent on the other end
• Build the rules engines, configuration runtime, and AI Copilots that turn the platform into a product factory. Customers ship entirely new products without us touching the code
• Bring whole companies onto the platform: importer pipelines, schema mapping, hard go-live dates. Every customer's data shape is different. Every cutover has a deadline that doesn't move
• Engineer the multi-tenant infrastructure companies run on. Async workers, document pipelines, scheduled jobs touching every site. The AI agent fleet is joining them tenant by tenant
• Design the public APIs the entire customer ecosystem runs on, with AI agents as first-class consumers and the contracts that let new endpoints ship at speed

Conocimientos

Python

SQL databases

Django

APIs

React

Vue.js

Docker

AWS

SaaS development

Startup experience

Educación

Bachelor’s Degree in Computer Science or related field

Herramientas

Claude

Codex

Cursor

Copilot

LangChain

LangGraph

LangFuse

OpenRouter

FastMCP

Descripción del empleo

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. We hack on AI tools because we can't help it. It's how we're wired.

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

• Python, MySQL, AWS
• Claude, Codex, Cursor, Copilot, LangChain, LangGraph, LangFuse, OpenRouter, FastMCP

What You'll Do

• Push production AI agents into the platform's most complex flows. Build the MCP servers that orchestrate them: tool layer, context handling, model routing through OpenRouter
• Build the integration layer that powers the platform and the AI agents on top of it: identity, e-signature, real time data services. Every call has a user or an agent on the other end
• Build the rules engines, configuration runtime, and AI Copilots that turn the platform into a product factory. Customers ship entirely new products without us touching the code
• Bring whole companies onto the platform: importer pipelines, schema mapping, hard go-live dates. Every customer's data shape is different. Every cutover has a deadline that doesn't move
• Engineer the multi-tenant infrastructure companies run on. Async workers, document pipelines, scheduled jobs touching every site. The AI agent fleet is joining them tenant by tenant
• Design the public APIs the entire customer ecosystem runs on, with AI agents as first-class consumers and the contracts that let new endpoints ship at speed

What You'll Bring

• Bachelor’s Degree or higher in Computer Science or a related field
• 5+ years of experience in Python web development
• 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
• 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
• 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

We used tokens

This isn’t your typical AI generated job description

What did we do different?

Other companies: Basic AI

Us: Claude Cowork (Opus 4.7)

Why?

The same reason you’re still reading the job description

Here was our first prompt

I need to use Cowork to update a job description for a Senior Python Backend Engineer role. The current job description is in a folder on my desktop called 'Job Description'

I want Cowork to pull from three Slack channels: #eng-general-int, #product-general-int and #ai-for-makers - plus any design docs from the last three months, to understand what we've actually been shipping. Then update the job description based on what it learns

Final output should be a Google Doc. Help me write the Cowork prompt

[Our recruiter wrote this prompt, not an engineer]

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.