Master's Fellow – AI, Multi-Agent Systems, Orchestration, LLM, 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 involving LLMs and human-in-the-loop • Develop prototypes/MVPs of agents for priority stages of the selection process • Integrate the agents with corporate systems (ATS, calendars, communications) and iterate based on performance • Structure the capture and analysis of process data and implement monitoring, governance and bias mitigation

🎯 Requirements

• Position level: TECH 3 – Master's • Education: Master's degree • Fields of study: Computer Science, Software Engineering, Data Engineering, Information Systems or related areas • Proven experience developing AI agents and LLM-based applications (LangChain, LangGraph, OpenAI, Azure OpenAI or similar) • Solution architecture oriented to APIs and microservices; system integrations • Experience developing 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 and SQL • Preferred: RAG (Retrieval-Augmented Generation) and language model evaluation • Workflow orchestration (n8n, Airflow, Power Automate or similar) • AI governance, performance monitoring and bias mitigation • Integrations with HR systems or ATS (Workday, SAP SuccessFactors, Gupy or similar)

🏖️ Benefits

• Availability: 40 hours per week • Duration: 12 months