Sobre

The mission

• As a Senior Software Engineer- AI Specialist, you will be responsible for maintaining, improving, and evolving the backend systems that power our AI-driven Customer Success agent. In this role, you will implement enhancements, troubleshoot and resolve incidents, optimize performance, build reliable testing environments, and enable the continuous evolution of the AI agent.
• Your work will ensure that our AI agent operates in a stable, efficient, and scalable way, becoming a critical component of Baubap’s daily operations and customer experience.

The expected outcome

• High operational stability: The AI agent backend operates with low latency, sustained stability, and minimal technical incidents.
• Scalable and resilient architecture: The system evolves toward a modular, decoupled architecture capable of handling increased volume without performance degradation.
• Reliable automation: AI agent workflows run in a stable and predictable manner, with a reduced rate of technical failures.
• Continuous iteration: Ongoing improvements, experiments, and variants are developed to continuously enhance the agent’s behavior, efficiency, and effectiveness.

The day to day tasks

• Maintain and improve the internal workflows, services, and modules that enable the AI agent to operate in a stable and efficient way.
• Implement technical optimizations to improve performance, resource utilization, and response times.
• Diagnose, resolve, and proactively prevent incidents related to the AI agent, including root cause analysis and system hardening.
• Build testing agents, experimentation environments, and A/B variants that enable continuous technical iteration.
• Perform technical prompt engineering adjustments (context, parameters, configurations) required for the correct and reliable operation of the AI agent.

Why YOU should apply

• 5+ years of professional experience building and maintaining production-grade backend systems.
• Strong proficiency in Python as the primary language for service development.
• Experience with distributed systems, concurrency control, message queues, and event-driven architectures (e.g., SQS, Redis streams/queues, background workers).
• Experience building and integrating backend services that expose structured tools to LLMs (e.g., MCP servers or similar tooling) and systems that integrate LLM-based agents.
• Previous experience working with LLM-powered systems or agents, including tuning the technical configurations required for their operation.
• Solid knowledge of SQL and relational databases.
• Experience working with AWS (Bedrock, ECS, Lambda, RDS, S3, IAM).
• Experience using Datadog for logs, metrics, and traces in backend systems, or similar observability platforms

What we can offer

• Being part of a multicultural, highly driven team of professionals
• 20 vacation days / year + 75% holiday bonus (Prima Vacacional)
• 1 month (proportional) of Christmas bonus (Aguinaldo)
• Food vouchers
• Health & Life insurance
• Competitive salary