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Full Stack Developer

COMPANY86

Contagem

Presencial

BRL 417.000 - 627.000

Tempo integral

Hoje
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Resumo da oferta

A cybersecurity and digital transformation firm is seeking to hire a Staff/Senior Software Engineer in Brazil. The ideal candidate will thrive in ambiguous situations, take ownership of the entire development process, and shape architecture rather than simply completing tasks through a strict process. Proficiency in Python, TypeScript, React, and experience with LLM API integrations are essential. The company values high-impact teamwork and innovative approaches, making it ideal for those looking to drive meaningful outcomes.

Qualificações

  • Experience integrating LLM APIs such as OpenAI, Anthropic, or Gemini.
  • Ability to make smart trade-offs with imperfect information.
  • Experience working in small, high-impact teams.

Responsabilidades

  • Shape architecture and ship meaningful systems.
  • Own outcomes end-to-end, not just code.

Conhecimentos

Python
TypeScript
React
LLM API integration
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’ll be shaping architecture, shipping meaningful systems, and using agentic coding tools (Cursor / ClaudeCode,etc.) as true force multipliers — not crutches.

You’d be a great fit if:
  • 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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