AI Engineer - Bees Personalization
Tasks
- Apply AI security and alignment guardrails
- Build observability and evaluation frameworks
- Deploy AI systems in CI CD environments
- Design multi-agent AI systems
- Develop multi agent reasoning planning and task execution
- Implement rag pipelines
- Integrate structured and unstructured data into agent workflows
- Optimize model serving for low latency high throughput
- Participate in distributed system architecture decisions
- Prevent prompt injection and data leakage
Perks/Benefits
- Casual office and dress code
- Childcare subsidies
- Days off
- Dental insurance
- Discounts on Ambev products
- Health insurance
- Language and training platforms
- Life insurance
- Meal allowance
- Medicines discounts
- Private pension plan
- Scholarship programs
- School materials assurance
- Transport allowance
- WellHub partnership
Skills/Tech-stack
AKS | AWS | Azure | Bicep | C++ | CloudFormation | DeepSpeed | EKS | Faiss | GCP | GKE | Go | Guardrails | Inference Server | Infrastructure as Code | Injection prevention | KServe | Kubernetes | Kubernetes Inference | Langchain | Langgraph | Language Models | Large Language Models | Milvus | ONNX Runtime | Pinecone | Prompt engineering | Prompt injection | Prompt injection prevention | Python | RAG | Ray Serve | Red Teaming | Semantic Kernel | TensorRT | Terraform | Triton Inference | Triton Inference Server | Vector Databases | Weaviate | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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