or apply directly on BEES's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 10 days BEES's roles stay open a median of 61 days
- Reposted
- No
- Salary listed
- No 0% of BEES's roles list one
- Ghost-job risk at BEES
- high 45 stale, 5 reposted of 70 open
- Hiring momentum
- 101 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-25
Measured from postings appearing on and disappearing from BEES's own greenhouse board since 2026-08-03. Full hiring picture for BEES.
About this role
As an AI Engineer at AB InBev, you will design, develop, and deploy multi-agent AI systems focused on reasoning, planning, and task execution. Your role involves implementing RAG pipelines, optimizing model serving for performance, and collaborating with data engineers to integrate various data sources. Additionally, you will work in a CI/CD environment and participate in architectural decisions related to distributed systems and AI security.
- benefits
- 5/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of BEES as an employer.
What you need
- Strong proficiency in Python and C++/Go
- 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
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 you get
- Performance based bonus
- Attendance Bonus
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off
Worth weighing
- No salary listed
- Focus on AI systems may limit exposure to other areas of software engineering
- Work environment details are vague
- Performance-based bonuses may vary significantly based on individual contributions
Summarised from BEES's posting. Read the full original.
Listed by BEES on their greenhouse job board, last confirmed open on 2026-10-25. PitchMeAI is not the employer.
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