AI Engineer
BEES, Campinas, São Paulo, Brazil +1
What you will do
- Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution.
- Implement RAG (Retrieval-Augmented Generation) pipelines, using orchestration tools and frameworks (LangChain, LangGraph, Azure AI Foundry).
- Optimize model serving for low-latency, high-throughput inference using frameworks like KServe, Triton Inference Server, or Ray Serve.
- Build observability and evaluation frameworks to monitor agent reasoning, success rates, and failure cases.
- Collaborate with ML and data engineers to integrate structured and unstructured data sources into agent workflows.
- Apply security and alignment techniques (guardrails, prompt injection prevention, red-teaming) to ensure robust behavior.
- Work in a CI/CD environment (Azure DevOps, GitHub Actions, ArgoCD) for rapid iteration and reliable deployment.
- Participate in architectural decisions involving distributed systems, GPU usage, caching strategies, and memory management.
What you need
- Strong proficiency in Python (for prototyping) and C++/Go (for performance-critical components).