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AI Engineer | BEES Personalization
Отличная вакансия в глобальной компании с сильным технологическим стеком и фокусом на передовые технологии (AI Agents, RAG). Предлагается широкий пакет льгот и возможность работать над продуктом мирового уровня.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям в области оркестрации LLM (LangGraph, LangChain), оптимизации инференса (TensorRT, KServe) и навыкам разработки на C++/Go для высоконагруженных систем.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции AI Engineer такого уровня в Бразилии (Кампинас/Сан-Паулу) рыночные показатели составляют от 180,000 до 300,000 BRL в год. Предложение AB InBev обычно конкурентоспособно и дополняется значительными бонусами.
Сопроводительное письмо
I am writing to express my strong interest in the AI Engineer position within the BEES Personalization team at AB InBev. With a solid background in developing multi-agent systems and implementing RAG pipelines, I am excited about the opportunity to contribute to a platform that handles real-world complexity at the scale of a global leader like AB InBev. My experience with LangChain, LangGraph, and vector databases aligns perfectly with your requirements for building sophisticated reasoning and planning agents.
Throughout my career, I have focused on optimizing model serving and ensuring the robustness of AI systems in production environments. I am particularly impressed by your focus on multi-agent architectures and AI security, areas where I have consistently delivered high-quality results using tools like KServe and Kubernetes. I am eager to bring my expertise in Python and performance-critical development to your team to help drive digital transformation and organic growth.
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Описание вакансии
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.
About the job
We are looking for a highly skilled AI Engineer to join our team and lead the design and implementation of complex AI agents capable of reasoning, planning, and collaborating with humans and other systems. This role goes beyond building simple chatbots: you will be responsible for creating multi-agent architectures, integrating advanced LLMs, and ensuring robustness, scalability, and security in production environments.
You will work closely with product managers, data engineers, and security specialists to develop agent-based systems that handle real-world complexity at scale.
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
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Навыки
- Python
- C++
- Go
- LLM
- LangChain
- LangGraph
- RAG
- Kubernetes
- Docker
- Azure
- Terraform
- Pinecone
- Weaviate
- KServe
- TensorRT
- ONNX Runtime
- CI/CD
Возможные вопросы на собеседовании
Проверка практического опыта работы с современными фреймворками для создания сложных AI-агентов.
Расскажите о вашем опыте проектирования мультиагентных систем с использованием LangGraph или AutoGen. С какими основными трудностями в координации агентов вы сталкивались?
Вакансия требует навыков оптимизации для работы с высокой пропускной способностью.
Какие стратегии вы используете для минимизации задержек (latency) при развертывании LLM в продакшн-среде с использованием KServe или Triton?
Безопасность AI — один из ключевых пунктов описания вакансии.
Как вы подходите к защите систем от prompt injection и обеспечению безопасности данных в RAG-пайплайнах?
Проверка знаний в области инфраструктуры и масштабирования.
Опишите ваш опыт развертывания ML-моделей в Kubernetes. Как вы управляете ресурсами GPU и кэшированием в распределенных системах?
Оценка навыков работы с памятью агентов.
В каких случаях вы бы предпочли использовать графовую базу данных (например, Neo4j) вместо векторной для реализации памяти AI-агента?
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