Master’s Scholar – AI, Multi-Agent Systems, Orchestration, LLMs, Recruitment & Selection

Job not on LinkedIn

🕒 July 7

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎯 Recruiter

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sistema Fibra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

🤝 B2B

🤝 Non-profit

📚 Education

B2B • Non-profit • Education

Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.

📋 Description

• Map the recruitment journey and identify priority use cases for AI agents • Define the technical architecture (agents, integrations with ATS, data and workflows) and design flows using LLMs and human-in-the-loop • Develop agent prototypes/MVPs for priority stages of the selection process • Integrate the agents with corporate systems (ATS, calendars, communication) and iterate based on performance • Structure process data capture and analysis, and implement monitoring, governance, and bias mitigation.

🎯 Requirements

• Position level: TECH 3 (Master’s) • Education: Master’s degree • Degrees: Computer Science, Software Engineering, Data Engineering, Information Systems, or related fields • Proven expertise in developing AI agents and LLM-based applications (LangChain, LangGraph, OpenAI, Azure OpenAI, or similar) • API- and microservices-oriented solution architecture; system integrations • Design and implementation of intelligent workflows with human-in-the-loop mechanisms • Development of MVPs and prototypes in innovation or applied research contexts • Strong foundation in data engineering and analysis, modeling, pipelines, and insights generation • Knowledge of Cloud (AWS) • Proficiency in Python, SQL • Desired: RAG and evaluation of language models, workflow orchestration (n8n, Airflow, Power Automate, or similar), AI governance, performance monitoring and bias mitigation.

🏖️ Benefits

• Scholarship/Stipend: BRL 9,000.00