Architect AI Engineer
RON 312K-396K (estimate) Senior-level Full Time
Tasks
- Architect multi agent collaboration patterns
- Build long term memory solutions for AI
- Build model orchestration platform
- Define agent to agent communication protocols
- Define automated metrics for response quality
- Design leave and layer modernization patterns
- Establish Model Context Protocol standards
- Establish tracing standards with OpenTelemetry
- Expose legacy functionality via wrapper APIs
- Implement event-driven workflows
- Implement governance prompt validation policy as code and access control
- Implement model gateways and prompt versioning
- Implement retrieval architectures hybrid vector and knowledge graph
- Integrate AI with application UI tools
- Measure reasoning reliability hallucination rate and task success
- Secure handling of PII
- Use LLM observability tools for debugging
Perks/Benefits
- Hybrid work options
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Referral bonuses
- Remote flexibility
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
AI Foundry | AWS Bedrock | Access Control | Anthropic | Asynchronous programming | Azure AI | Azure AI Foundry | Containerization | Distributed Systems | Google Vertex | Google Vertex AI | Graph Databases | GraphRAG | Guardrails | Hybrid search | Knowledge graphs | LLM orchestration | Langchain | Langfuse | Langgraph | Langsmith | Llamaindex | MCP | MLOps | Microservices Architecture | Model Context Protocol | Model Governance | Neo4j | OpenAI | OpenTelemetry | PII protection | Pinecone | Policy-as-Code | Prompt validation | Python | Qdrant | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Semantic Kernel | Semantic Search | Vector Databases | Vector Search | Vertex AI | Weaviate | “as-code”
Education
N/A
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