AI Engineer
Core
Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution within the Growth Group's digital products.
Role type
Senior IC AI Engineer (Multi-Agent Systems & LLMs)
Builds
Multi-agent AI systems, RAG pipelines, and optimized inference services for B2B and DTC digital products. (via careerplan.io/jobs/8868234002-ai-engineer-at-abinbev)
Domain
Consumer Goods (Beer) + AI/LLM Engineering
Deliverable
production ML models
Required skills
Python, C++/Go, LLMs (OpenAI, Anthropic, Llama, Mistral), Agent Orchestration (LangChain, LangGraph), Vector Databases (Pinecone, Weaviate, FAISS, Milvus), Distributed Systems, Kubernetes (AKS/EKS/GKE), Inference Optimization (ONNX, TensorRT, DeepSpeed), Cloud Infrastructure (Azure, AWS, GCP), IaC (Terraform, CloudFormation, Bicep), AI Security (Prompt Injection Prevention, Red-teaming)
Preferred skills
Multi-agent Simulations (AutoGen, CrewAI, OpenAI Swarm), Graph Databases (Neo4j, ArangoDB), Open Source Contributions
Technologies
LangChain, LangGraph, Azure AI Foundry, KServe, Triton Inference Server, Ray Serve, ArgoCD, GitHub Actions, Azure DevOps, Terraform, CloudFormation, Bicep, ONNX Runtime, TensorRT, DeepSpeed, Pinecone, Weaviate, FAISS, Milvus, Neo4j, ArangoDB, Kubernetes, AKS, EKS, GKE, Azure, AWS, GCP
Responsibilities
Design and deploy multi-agent AI systems for reasoning and task execution; Implement RAG pipelines using orchestration tools; Optimize model serving for low-latency, high-throughput inference; Build observability and evaluation frameworks for agent monitoring; Collaborate with ML/data engineers to integrate data sources; Apply security and alignment techniques to ensure robust behavior; Participate in architectural decisions for distributed systems and GPU usage.
Seniority
Senior, hands-on IC
