Engenheiro de IA SR in Brazil at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de IA SR based in Brazil.

This role is designed for a senior AI professional who will build and evolve advanced artificial intelligence solutions in production environments.
You will work on the full lifecycle of AI initiatives, from understanding business challenges to designing, deploying, monitoring, and improving solutions.
The position combines generative AI, machine learning, data engineering, and cloud technologies to create scalable and reliable systems.
You will contribute to projects that transform complex healthcare challenges into practical, impactful technology solutions.
Working in a highly autonomous environment, you will have ownership over technical decisions and the evolution of AI capabilities.
The role requires a balance of innovation, engineering excellence, security awareness, and a strong focus on delivering measurable value.

The Senior AI Engineer will be responsible for designing, developing, and maintaining production-ready AI solutions, ensuring scalability, reliability, and continuous improvement. The role involves collaborating closely with technical and business stakeholders to transform complex needs into effective AI-driven products.

• Build and manage production-grade generative AI agents, including multi-agent architectures, orchestration workflows, tool calling, guardrails, and human-in-the-loop processes.
• Develop machine learning models for predictive applications, covering feature engineering, validation, deployment, and production monitoring.
• Design and evolve data pipelines based on lakehouse architectures to support AI models and intelligent systems.
• Implement systematic evaluation processes for GenAI solutions, including quality metrics, performance analysis, and cost optimization.
• Translate complex healthcare-related challenges into robust, observable, secure, and sustainable AI solutions while ensuring compliance with privacy requirements.
• Take ownership of solutions throughout their lifecycle, from initial concept and architecture decisions to deployment and continuous optimization.

The ideal candidate has strong experience engineering AI solutions in production environments, combining software engineering expertise, machine learning knowledge, and practical experience with modern AI architectures.

• Solid professional experience with Python development in production environments.
• Proven experience building, deploying, and managing generative AI solutions using LLM APIs, beyond proof-of-concept projects.
• Strong knowledge of AI agent orchestration frameworks such as LangGraph, LangChain, CrewAI, or equivalent technologies.
• Experience with applied machine learning, including predictive modeling, validation, tuning, and deployment processes.
• Experience working with data lakehouse architectures such as Delta Lake, Iceberg, or similar technologies.
• Hands-on experience with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Cloud Run, and GCS.
• Knowledge of AI evaluation methodologies, RAG systems, LLM observability, or Model Context Protocol (MCP) is a plus.
• Experience with workflow orchestration tools such as Airflow, Kestra, Dagster, or similar is desirable.
• Previous exposure to healthcare technology, clinical data, billing systems, or healthcare interoperability is considered an advantage.
• Strong ownership mindset, pragmatic problem-solving skills, and the ability to communicate technical concepts clearly.

• Remote work model with flexibility and autonomy.
• Onboarding kit and equipment provided for professional activities.
• Semestral company gathering focused on culture and strategy alignment.
• Monthly allowance through Flash benefits card.
• Paid company recess period.