AI Engineer
TRY 400K-570K (estimate) Mid-level Full Time
Tasks
- Add output validation mechanisms
- Build tool calling loops
- Create observable agent workflows
- Deploy and manage applications on Kubernetes
- Design agent memory mechanisms
- Design cloud native distributed AI systems
- Develop microservices and APIs
- Ensure reliability maintainability scalability
- Implement multi-agent orchestration
- Implement prompt injection protection
- Monitor and audit agent systems
- Operate and optimize RAG pipelines
Perks/Benefits
- Career opportunities
- English Language Development Support
- Health insurance
- Hybrid work
- Meal card
- Multisport membership
- PACE methodology
- Private pension plan
- Transportation allowance
- Welcome leave
Skills/Tech-stack
Agent systems | Arize | Asynchronous programming | BigQuery | CI/CD | Claude | Cloud Run | Cloud platform | Code review | CrewAI | Distributed Systems | Docker | Documentation | GRPC | Gemini | Google Cloud | Google Cloud Platform | Injection Protection | Kubernetes | LLM Evaluation | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Microservices | Model Evaluation | Model Training | Monitoring | Multi-Agent | Multi-Agent Systems | Neural Networks | Observability | OpenAPI | OpenShift | Output Validation | Prompt injection | Prompt-injection protection | PubSub | Python | RAG | REST APIs | Ragas | Terraform | Testing | Vector Databases | Version control | Vertex AI
Education
N/A
Roles
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