IA e machine learning · Não informado
AI Engineer
BEESCampinas, São Paulo, Brazil
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A vaga é para AI Engineer na BEES. O modelo informado é não informado; localidade: Campinas, São Paulo, Brazil. Strong proficiency in Python (for prototyping) and C++/Go (for performance-critical components). Proven experience with LLMs (OpenAI, Anthropic, Llama, Mistral, or similar).
Resumo automático baseado somente nas informações publicadas pela empresa.
Sinais da vaga
O que mais pesa no anúncio
Uma leitura objetiva dos conhecimentos e níveis mais relevantes para esta oportunidade.
IA e automação
Muito alta · 5/5
No título da vaga · 6 menções
Growth
Média · 3/5
Na descrição · 8 menções
Cloud e DevOps
Média · 3/5
Na descrição · 7 menções
Segurança
Média · 3/5
Na seção de diferenciais · 3 menções
Escala de 1 a 5. Mede presença e posição no anúncio; não mede sua chance de contratação.
Descrição completa
Contexto da oportunidadeAbrirFechar
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 doAbrirFechar
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 haveAbrirFechar
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