Identify, design, and build AI/ML and automation solutions (e.g., LLM-based applications, agents, RPA, and workflow automations) that address business needs and reduce manual effort.

Develop, integrate, and deploy models and automation workflows into production, connecting them with existing systems, data sources, and APIs.

Build and maintain prompt engineering, retrieval (RAG), and evaluation pipelines to ensure the quality, accuracy, and reliability of AI outputs.

Monitor, test, and improve deployed solutions tracking performance, cost, latency, and accuracy iterating based on feedback and metrics.

Partner with business and technical stakeholders to gather requirements, prioritize use cases, document solutions, and enable teams to adopt them.

Apply responsible-AI, security, and compliance best practices (data privacy, bias mitigation, access controls, PII protection), coordinating with Security/IT and Data as needed.

Software / tools: Proficiency in Python; experience with AI/ML frameworks and LLM APIs (e.g., OpenAI, Anthropic), plus automation/orchestration tools (e.g., n8n, Make/Zapier, Airflow) and workflow/RPA platforms. Familiarity with a major cloud (GCP/AWS/Azure), APIs/webhooks, and version control (Git).

Specific knowledge: Applied machine learning and generative-AI concepts (prompting, RAG, embeddings, fine-tuning), agent frameworks, integration patterns, and building and monitoring solutions in production. Experience in fintech or high-volume environments is valued.

Expected results: Reliable, well-documented AI and automation solutions in production that measurably reduce manual work, improve process efficiency, and deliver accurate, trustworthy outputs.

Skills: Strong analytical and problem-solving skills, curiosity and fast learning in a rapidly evolving field, attention to detail, clear communication of technical concepts, and collaboration across business and technical teams.

Desirable (not essential): Experience with vector databases, MLOps/LLMOps, and data engineering or integrations; the Zoho ecosystem or similar platforms; intermediate/advanced English (Portuguese a plus); and prior experience in a similar AI / Automation Engineer role.