
10,000+ employees
đ¨ Hospitality
đŁ Marketing
âď¸ Travel
Hospitality ⢠Marketing ⢠Travel
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
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10,000+ employees
đ¨ Hospitality
đŁ Marketing
âď¸ Travel
Hospitality ⢠Marketing ⢠Travel
AB InBev is a global brewing company known for its extensive portfolio of over 500 beer brands, including iconic global and local names. Committed to sustainability and responsible drinking, the company has a heritage spanning more than 600 years. AB InBev continually seeks innovation in brewing and serves to celebrate beer as a beverage of moderation.
⢠Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution ⢠Implement RAG pipelines using LangChain, LangGraph, and Azure AI Foundry ⢠Optimize model serving for low-latency, high-throughput inference using 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, including guardrails, prompt injection prevention, and red-teaming ⢠Work in a CI/CD environment using Azure DevOps, GitHub Actions, and ArgoCD ⢠Participate in architectural decisions involving distributed systems, GPU usage, caching strategies, and memory management
⢠Strong proficiency in Python (for prototyping) and C++/Go (for performance-critical components) ⢠Proven experience with LLMs (OpenAI, Anthropic, Llama, Mistral, or similar) ⢠Practical experience with agent orchestration frameworks (LangChain, LangGraph, Semantic Kernel) ⢠Deep understanding of search and retrieval systems and vector databases such as Pinecone, Weaviate, FAISS, and Milvus ⢠Knowledge of distributed systems and experience deploying ML models in Kubernetes/AKS/EKS/GKE environments ⢠Familiarity with ONNX Runtime, TensorRT, or DeepSpeed for inference optimization ⢠Experience with public clouds (Azure, AWS, or GCP) and infrastructure as code (Terraform, CloudFormation, or Bicep) ⢠Understanding of AI security, including prompt injection, data leakage, and adversarial testing
⢠Performance based bonus* ⢠Attendance Bonus* ⢠Private pension plan ⢠Meal Allowance ⢠Casual office and dress code ⢠Days off* ⢠Health, dental, and life insurance ⢠Medicines discounts ⢠WellHub partnership ⢠Childcare subsidies ⢠Discounts on Ambev products* ⢠Clube Ben partnership ⢠Scholarship* ⢠School materials assurance ⢠Language and training platforms ⢠Transport allowance ⢠*Rules applied
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