AI Engineer

Role overview

Responsibilities

• check_circle Design and build end-to-end, LLM-powered applications, workflow automations, and autonomous AI agents.
• check_circle Connect, orchestrate, and maintain external and self-hosted AI model APIs under real-world runtime constraints.
• check_circle Develop and maintain Retrieval-Augmented Generation (RAG) structures, advanced prompt engineering chains, and data pipelines over proprietary business data.
• check_circle Implement observability and evaluation tooling to continuously grade, monitor, and audit AI system performance, bias, and accuracy.
• check_circle Work closely with engineers and frontend developers to smoothly transition proof-of-concepts into consumer-ready software.
• check_circle Address complex edge cases such as error handling, model drift, fallback mechanics, and self-healing system pipelines.

Basic qualifications

• Proficiency in Python (highly critical) and/or modern backend ecosystems like Node.js/TypeScript.
• Strong grasp of data structures, algorithms, and microservices.
• Experience with orchestration layers, model hosting platforms, and vector databases.
• Familiarity with deploying applications via cloud infrastructure like AWS, Google Cloud, or Microsoft Azure.
• Solid command of SQL and data manipulation libraries, alongside a foundational understanding of data science principles.
• Bachelor’s degree in computer science, Data Science, Mathematics, or a related technical discipline (or equivalent practical experience).
• Ability to articulate complex technological decisions and mechanics to non-technical stakeholders and leadership teams.
• A proactive, scientific approach to troubleshooting non-deterministic software behaviour.

Benefits

• check_circle Cartão/Ticket refeição
• check_circle Seguro saúde