Senior Python Backend Engineer

BriteCore; Vargem Grande da Serra; Teletrabalho; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

BriteCore is seeking a senior backend engineer to push production AI agents and build the multi-tenant infrastructure that powers a scalable platform. You’ll design the integration layer, API contracts, and the public interfaces that enable AI agents as first-class consumers.

The role requires deep Python web development experience, Django, SQL, cloud tech (AWS, Docker), and hands-on work with frontend frameworks like Vue.js or React, plus a track record at scaling startups.

Qualificações

• 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.

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

Conhecimentos

Python web development

APIs

Cloud-based SaaS

Django

AI coding tools

Frontend frameworks (Vue.js/React)

SQL databases (MySQL, PostgreSQL)

SDKs & integration

Startup experience

Communication skills

Formação académica

Bachelor’s Degree in Computer Science or related field

Ferramentas

Docker

AWS

OpenRouter

LangChain

LangGraph

LangFuse

Claude

Cursor

Codex

Descrição da oferta de emprego

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

Recruitment Process

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.

Equal Opportunity

We take pride in our dynamic, diverse team, unified by shared values of community, integrity, grit and impact. We welcome every individual and 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.