AB InBev - AI Engineer
Requirements
• 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 (vector databases like Pinecone, Weaviate, FAISS, 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 (prompt injection, data leakage, adversarial testing). • Nice to have: • Experience with multi-agent simulations (AutoGen, CrewAI, OpenAI Swarm). • Background in red-teaming and offensive security for AI models. • Knowledge of graph databases (Neo4j, ArangoDB) for agent memory and reasoning. • Publications, research contributions, or involvement in open-source projects related to LLM or agent frameworks.
Responsibilities
• 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. • 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.
Benefits
• Performance based bonus* • Attendance Bonus* • Private pension plan • Casual office and dress code • Health, dental, and life insurance • Medicines discounts • WellHub partnership • Childcare subsidies • Discounts on Ambev products* • Clube Ben partnership • School materials assurance • Language and training platforms • Transport allowance • Equal Opportunity & Affirmative Action:
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