Full Stack Developer

Company86; Betim; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading cybersecurity firm in Minas Gerais, Brazil, is seeking a Staff/Senior Staff Software Engineer. In this role, you will work with a small, high-impact team, taking ownership of outcomes and shaping architecture while integrating LLM APIs. The ideal candidate is comfortable using Python and TypeScript, and thrives in ambiguous environments. This position emphasizes the importance of making smart trade-offs without relying on a traditional task-based approach, fostering innovation and cutting-edge solutions.

Qualificações

• Experience with LLM APIs such as OpenAI, Anthropic, or Gemini.
• Comfortable working in Python and TypeScript.
• Ability to own outcomes end-to-end.

Responsabilidades

• Shape architecture and ship meaningful systems.
• Work with a small, high-trust team.
• Define problems and make strategic trade-offs.

Conhecimentos

Python

TypeScript

React

LLM APIs 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’mworkingwithasmall,high-trustteamthat’shiring2 Staff / SeniorStaffSoftwareEngineer —someonewhothrivesinambiguity,takesrealownership,andprefersdefiningproblemsratherthanwaitingfortickets. Thisis not a“tasks+Jiraboard”role.You’dbeshapingarchitecture,shippingmeaningfulsystems,andusing agenticcodingtools(Cursor / ClaudeCode,etc.)astrueforcemultipliers—notcrutches.

You’dbeagreatfitifyou :

• Ownoutcomesend-to-end—notjustcode
• Workcomfortablyacross Python+TypeScript / React
• Haveexperienceintegrating LLMAPIs (OpenAI,Anthropic,Gemini,etc.)
• Enjoymakingsmarttrade-offswithimperfectinfo
• Prefersmall,high-impactteamsoverlarge,process-heavyenvironments

It’sidealforsomeonewho noticesbrokenassumptionsearly,treatsambiguityasrawmaterial,andraisesthebarthroughexampleratherthanprocess.