Senior Data Scientist – Generative AI, Agents

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Develop and version agents’ system prompts, including guardrails, permitted actions, flow control, tool-calling policies, output format, and human escalation. • Prepare and structure knowledge bases for RAG, including cleaning, sectioning, validity metadata, and organization by categories and access groups. • Evaluate retrieval quality and fine-tune the RAG strategy. • Build OCR and information-extraction workflows for PDFs, photos, and handwritten documents, with quality metrics and handling for illegible documents. • Implement anonymization and personal-data masking services, along with input and output guardrails. • Build golden sets and a prompt evaluation harness, with regression testing for each version and measurement of accuracy and cost per case. • Evaluate and approve LLMs from different providers, applying AI FinOps practices. • Create agents on the client’s platform with the technical team and support integration testing, UAT, and assisted operations. • Document technical decisions and support materials for the architecture committee, covering costs, security, and data handling. • Work on a project to build five AI agents to automate back-office processes for a healthcare and pharmaceutical retail client. • Integrate agents with enterprise systems through APIs, MCPs, and RPA automations, with interaction via Microsoft Teams. • Work in a squad with a solutions architect, developer, and business analyst.

🎯 Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field. • 4+ years of experience in data science or machine learning, including experience on Generative AI projects. • Hands-on experience with LLMs: prompt engineering, function calling/tools, structured output (JSON Schema), and agents. • Experience with RAG: embeddings, vector databases, hybrid search, reranking, and retrieval evaluation. • Python for experimentation, evaluation, and data processing. • Building datasets and evaluation metrics for LLM solutions (accuracy, precision/recall, LLM-as-a-judge). • Knowledge of OCR and document information extraction (multimodal models and/or Document AI). • Knowledge of AI governance and Brazil’s LGPD: masking, anonymization, and data minimization. • Intermediate to advanced English proficiency. • Preferred: Azure OpenAI and/or Microsoft Foundry; MongoDB Atlas Vector Search. • Preferred: MCP protocol and agent patterns (ReAct, stateful workflows). • Preferred: LLM security: prompt injection, red teaming, and guardrails. • Preferred: AI FinOps: estimating and optimizing token costs and comparing providers. • Preferred: Node.js/TypeScript. • Preferred: Experience with RPA or integrations with ServiceNow, Microsoft Teams/Graph, or SAP. • Preferred: Business knowledge in healthcare/regulatory affairs (ANVISA), supply chain, or HR benefits. • Preferred: Cloud or AI certifications (e.g., Azure AI Engineer).

🏖️ Benefits

• Ongoing professional development • Potential project extension or permanent employment after the project • Remote work