Senior AI Developer

1. Development of AI Models and Agents

Develop, train, fine-tune, and validate Machine Learning, Deep Learning, and generative models.

Design, implement, and optimize conversational and autonomous AI agents, including reasoning flows, memory, tools, and orchestration.

Work with NLP, computer vision, multimodal models, and RAG-based systems as needed by the business.

Perform hyperparameter tuning, fine-tuning, embeddings, and performance and cost optimization.

2. Engineering, Architecture, and Integration

Structure data pipelines for training, evaluating, and deploying models and agents.

Implement scalable solutions in cloud environments and integrate AI with APIs, databases, internal systems, web/mobile applications, and digital products.

Develop and maintain inference services, AI-driven automations, and implementations within and outside the Studio platform.

Apply MLOps practices, versioning, continuous deployment, and traceability.

3. Data, Knowledge, and Governance

Prepare, clean, and structure large volumes of structured and unstructured data.

Implement ingestion, indexing, versioning, and semantic search for knowledge bases used by agents (RAG).

Ensure quality, consistency, security, and compliance of data used in AI systems.

4. Monitoring, Evaluation, and Security

Monitor performance, latency, cost, consumption, and degradation of models and agents in production.

Define and track evaluation metrics (accuracy, precision, recall, F1-score, response quality, error rate, among others).

Implement testing, observability, auditing, output validation, and protection mechanisms against hallucinations, prompt injection, and misuse.

Promote continuous adjustments based on new data, behaviors, or business needs.

5. Innovation, Documentation, and Technical Support

Keep up with trends, frameworks, and emerging technologies in AI.

Test new approaches, tools, and applications to generate value for the business and clients.

Document architecture, flows, integrations, and usage instructions for developed solutions.

Support internal teams, facilitate knowledge transfer, and provide technical support related to AI solutions.

Propose new AI applications for the business.