Principal AI Engineer
Tasks
- Architect multi-agent orchestration frameworks
- Build orchestration logic routing delegation retries fallback consensus human in the loop
- Conduct presales AI consulting
- Define AI use cases and agent scenarios
- Design and adapt custom AI models prompt tuning
- Design single agent and multi agent systems
- Develop RAG pipelines data ingestion chunking embeddings vector retrieval
- Ensure production observability logging security cost efficiency
- Implement learning and feedback loops
- Prepare presales deliverables and roadmaps
- Select and justify LLMs
- Translate business problems into AI requirements
Perks/Benefits
Skills/Tech-stack
API Design | AWS Bedrock | Agent systems | Agentic AI | Azure OpenAI | Cloud Computing | Data Governance | Data Residency | Embeddings | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Human-in-the-loop | Hybrid retrieval | Language Models | Large Language Models | LoRA | Logging | Microservices | Multi-Agent | Multi-Agent Systems | Observability | PII handling | Prompt engineering | Python | RAG | Security | The Loop | TypeScript | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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