Full Stack Developer

COMPANY86; Várzea Grande; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading tech firm in Várzea Grande is seeking a Staff/Senior Staff Software Engineer who thrives in ambiguity and takes ownership of outcomes. In this role, you'll shape architecture, ship significant systems, and work with high-impact tools. We're looking for someone comfortable with Python, TypeScript/React, and integrating LLM APIs. If you prefer small teams and enjoy addressing challenges with smart trade-offs, this position is ideal for you.

Qualificações

• Experience owning outcomes end-to-end, not just writing code.
• Ability to work comfortably across Python and TypeScript/React.
• Experience integrating large language models (LLMs) APIs.

Responsabilidades

• Shape system architecture and deliver significant software solutions.
• Utilize agentic coding tools as force multipliers.
• Work in a small, high-impact team.

Conhecimentos

Python

TypeScript

React

LLM API integration

Ferramentas

Cursor

Claude Code

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.