16 publicaciones de empleo destacadas de senior python backend engineer, financial systems en remote (¡Están contratando!)

Senior Python Backend Engineer
BriteCore —Desde casa
- Por contrato
Postulación rápida
Senior Backend Engineer
CommIT —Desde casa
- Tiempo completo
Postulación rápida
7d
Python Coding Specialist - Freelance AI Trainer Project
Meridial —Desde casa
- Por contrato
Senior Python Engineer
EPAM Systems, Inc. —Desde casa
Senior Python Full Stack Engineer
EPAM Systems, Inc. —Desde casa
Request for Proposal (RFP) - Latin American Vessel Tracking Regulations – Comparative Analysis Publication
Global Fishing Watch RFP —Desde casa
12d
AI Engineer - LATAM
Rad Hires —Desde casa
- Tiempo completo
Postulación rápida
Sr. AI Security Engineer
Backblaze —Desde casa
Head of Business LATAM (iGaming)
GR8_TECH —Desde casa
Postulación rápida
Customer Support Specialist - LATAM
Mize —Desde casa
- Tiempo completo
Postulación rápida
8d
Customer Experience Specialist
Flex —Desde casa
- Tiempo completo
Postulación rápida
Accounts Receivable Accountant - Remote, Argentina
tires-easy.com —Desde casa
Live Phone Support Contractor - Remote LATAM
Coinme —Desde casa
- Por contrato
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Full Stack Developer
Black Dragon Capital —Desde casa
Postulación rápida
4h
Data Scientist
AccelOne —Desde casa
- Tiempo completo
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Engagement Manager, Argentina
BioCatch —Desde casa
- Tiempo completo
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1d

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Senior Python Backend Engineer

BriteCore -
Desde casa

Postulación rápida

Detalles del empleo

Por contrato

Descripción completa del empleo

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. 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

Bonus points

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.

Click here to learn more about our platform.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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