Master's Fellow – AI, Multi-Agent Systems, Orchestration, LLM, Recruitment & Selection

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Outline the recruitment journey and pinpoint key use cases for AI agents.

• Specify the technical architecture, including agents, ATS integrations, data, and workflows, and design processes that involve LLMs alongside human oversight.

• Create prototypes or MVPs for agents targeting crucial phases of the selection process.

• Connect the agents with corporate systems such as ATS, calendars, and communications, and refine based on their performance.

• Organize the collection and evaluation of process data, and implement monitoring, governance, and bias reduction strategies.

⛳️ Requirements

• Position level: TECH 3 – Master's.

• Education: Master's degree.

• Fields of study: Computer Science, Software Engineering, Data Engineering, Information Systems, or related disciplines.

• Demonstrated experience in developing AI agents and applications based on LLMs (LangChain, LangGraph, OpenAI, Azure OpenAI, or similar technologies).

• Solution architecture focused on APIs and microservices; experience with system integrations.

• Background in creating MVPs and prototypes within innovation or applied research environments.

• Solid foundation in data engineering and analysis, including modeling, pipelines, and insights generation.

• Familiarity with Cloud platforms (AWS).

• Proficient in Python and SQL.

• Preferred: Experience with RAG (Retrieval-Augmented Generation) and language model evaluation.

• Knowledge in workflow orchestration (n8n, Airflow, Power Automate, or similar tools).

• Expertise in AI governance, performance tracking, and bias mitigation.

• Experience with HR systems or ATS integrations (Workday, SAP SuccessFactors, Gupy, or similar).

🏝️ Benefits

• Availability: 40 hours per week.

• Duration: 12 months.