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Full Stack Developer

COMPANY86

Osasco

Presencial

BRL 80.000 - 120.000

Tempo integral

Há 23 dias

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Resumo da oferta

A cybersecurity and AI innovation firm is seeking a Staff / Senior Staff Software Engineer in São Paulo. The ideal candidate thrives in ambiguity, takes ownership of outcomes, and is comfortable working across Python and TypeScript / React. You will define problems, shape architecture, and integrate advanced LLM APIs. This role offers a unique opportunity to work in a small, high-impact team environment focused on delivering transformative solutions.

Qualificações

  • Experience working comfortably across Python and TypeScript / React.
  • Proven ability to own outcomes end-to-end and shape architecture.
  • Comfortable with integrating LLM APIs (OpenAI, Anthropic, etc.).

Responsabilidades

  • Define problems and shape meaningful systems.
  • Work with a small, high-trust team to deliver impactful outcomes.
  • Make smart trade-offs with imperfect information.

Conhecimentos

Ownership of outcomes
Python
TypeScript
React
Experience with LLM APIs
Problem-solving in ambiguity
Descrição da oferta de emprego

Company Description At Company 86, we specialize in cybersecurity, digital transformation, and advanced AI implementation to deliver measurable and secure results for our clients. With decades of real-world experience, we focus on practical and future-ready outcomes through strategy, design, and delivery. Our mission is to ensure successful, transformative solutions that meet the evolving needs of businesses. We are committed to innovation and delivering cutting-edge expertise through our core principles : Cyber, Transformation, and AI.

Role Description

I'm working with a small, high-trust team that's hiring 2 Staff / Senior Staff Software Engineer — someone who thrives in ambiguity, takes real ownership, and prefers defining problems rather than waiting for tickets. This is not a "tasks + Jira board" role. You'd be shaping architecture, shipping meaningful systems, and using agentic coding tools (Cursor / Claude Code, etc.) as true force multipliers — not crutches.

You'd be a great fit if you :

  • Own outcomes end-to-end — not just code
  • Work comfortably across Python + TypeScript / React
  • Have experience integrating LLM APIs (OpenAI, Anthropic, Gemini, etc.)
  • Enjoy making smart trade-offs with imperfect info
  • Prefer small, high-impact teams over large, process-heavy environments

It's ideal for someone who notices broken assumptions early, treats ambiguity as raw material, and raises the bar through example rather than process.

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