Multi-Agent AI Engineer: RAG Pipelines

AB InBev; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

AB InBev is seeking a software architect to design, develop, and deploy multi-agent AI platforms for reasoning, planning, and task execution. You will implement RAG pipelines with LangChain, LangGraph, and Azure AI Foundry, optimize model serving for low latency in Kubernetes environments, and contribute to observability and security practices.

Strong Python and C++/Go skills are essential. Collaborate with the Growth Group to accelerate digital transformation across B2B, DTC, and marketing

Qualifications

• Strong proficiency in Python and C++/Go.
• Deep understanding of vector databases and distributed systems.
• Experience with LLMs and agent orchestration frameworks.

Responsibilities

• Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution.
• Implement RAG pipelines using orchestration tools like LangChain, LangGraph, and Azure AI Foundry.
• Optimize model serving for low-latency, high-throughput inference and build observability frameworks.

Skills

Python

C++/Go

LLMs

Agent orchestration

LangChain

LangGraph

Azure AI Foundry

Vector databases

Distributed systems

Kubernetes

Prompt injection prevention

Red-teaming

Education

Tools

LangChain

LangGraph

Azure AI Foundry

Job description

AB InBev is seeking a software architect to design, develop, and deploy multi-agent AI platforms for reasoning, planning, and task execution. You will implement RAG pipelines with LangChain, LangGraph, and Azure AI Foundry, optimize model serving for low latency in Kubernetes environments, and contribute to observability and security practices.

Strong Python and C++/Go skills are essential. Collaborate with the Growth Group to accelerate digital transformation across B2B, DTC, and marketing