AI Engineer

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in BEL
Remote
Entry level
Food
The Role
Design, deploy, and optimize multi-agent AI systems, RAG pipelines, and low-latency model-serving infrastructure. Build observability and evaluation frameworks, integrate structured and unstructured data, and implement AI security controls such as guardrails and prompt-injection prevention. Collaborate on distributed systems, GPU utilization, caching, CI/CD, and cloud-native ML deployments using Kubernetes and public-cloud platforms.
Summary Generated by Built In

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

What you'll 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'll need:

  • 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.

What We Offer:

  • 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

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 


Skills Required

  • Strong proficiency in Python and C++ or Go
  • Proven experience with large language models such as OpenAI, Anthropic, Llama, or Mistral
  • Practical experience with agent orchestration frameworks including LangChain, LangGraph, or Semantic Kernel
  • Deep understanding of search and retrieval systems and vector databases
  • Knowledge of distributed systems and deploying machine-learning models in Kubernetes environments such as AKS, EKS, or GKE
  • Familiarity with ONNX Runtime, TensorRT, or DeepSpeed for inference optimization
  • Experience with Azure, AWS, or GCP
  • Experience with infrastructure as code using Terraform, CloudFormation, or Bicep
  • Understanding of AI security, including prompt injection, data leakage, and adversarial testing
  • Experience with multi-agent simulations using AutoGen, CrewAI, or OpenAI Swarm
  • Background in red-teaming and offensive security for AI models
  • Knowledge of graph databases such as Neo4j or ArangoDB
  • Publications, research contributions, or open-source involvement related to LLMs or agent frameworks
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The Company
HQ: Leuven
171,193 Employees

What We Do

We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago. We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow. We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come. Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol. Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).

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