2 days ago
Brazil (city not specified)Senior
Responsibilities
- Build and evolve AI agents serving restaurants through WhatsApp, focused on investment acquisition and increasing partner orders.
- Deliver end-to-end solutions covering specification, prototyping, implementation, testing, and deployment.
- Design and implement reliable, scalable integrations with the WhatsApp Business API and messaging providers.
- Develop prompting, tool calling, RAG, and model and response evaluation pipelines.
- Apply LGPD, GDPR, privacy, data security, and AppSec practices to conversational personal data.
- Instrument metrics, logs, tracing, error monitoring, and performance observability.
- Collaborate with product, design, security, and engineering teams to translate business needs into measurable technical solutions.
- Respond to incidents, conduct postmortems, and implement root-cause fixes that improve resilience.
- Document technical decisions in RFCs and ADRs and share knowledge with the team.
- Define and monitor KPIs, validate hypotheses, and measure impact.
Requirements
- Strong knowledge of LLMs and agents, including prompting, tool calling, RAG, and evaluation pipelines.
- Solid knowledge of Python or Golang.
- Experience with the WhatsApp Business API and messaging platform integrations.
- Applied knowledge of conversational data privacy and security, including LGPD, GDPR, and AppSec.
- Ability to deliver backend solutions end to end, including prototyping, automated testing, and CI/CD.
- Familiarity with AWS or GCP and managed services for deployment and operations.
- Experience with observability metrics, logs, tracing, and tools such as Sentry, Datadog, and Amplitude.
- Ability to break down complex problems, apply 80/20 prioritization, and focus on high-impact delivery.
- Clear technical communication, including writing RFCs and ADRs and presenting decisions to varied audiences.
- Data-oriented approach to defining and monitoring KPIs, validating hypotheses, and measuring impact.
- Preferred participation in technical communities, open-source projects, or InnerSource.
- Preferred experience with infrastructure and automation using Kubernetes, Docker, and Terraform.
- Preferred experience with event-driven architectures using Kafka or similar messaging services.
- Preferred familiarity with ML pipelines and platforms such as Databricks.
- Preferred experience with progressive release strategies, feature flags, canary releases, and controlled rollouts.
- Preferred experience building conversational products or agents for messaging channels.
Tech Stack
Categories
About iFood
iFood builds a marketplace and logistics platform for food delivery and local commerce, connecting consumers, restaurants, and delivery partners across Brazil. Founded in 2011 and headquartered in Osasco (SP), it is backed by Movile and Prosus. The company monetizes via restaurant commissions, delivery fees, advertising, and financial services such as iFood Pago and meal-benefit cards, and handles on the order of 100 million customer orders each month.