Principal AI Engineer
Tasks
- Adapt and fine tune models with LoRA
- Architect multi-agent orchestration frameworks
- Assess AI readiness and constraints
- Build RAG pipelines for retrieval and relevance optimization
- Conduct AI presales consulting
- Define AI use cases and agentic scenarios
- Design single agent and multi agent systems
- Implement learning and feedback loops
- Implement orchestration logic for routing delegation and retries
- Prepare architecture diagrams and implementation roadmaps
- Select and justify LLMs
- Translate business problems into AI requirements
Perks/Benefits
Skills/Tech-stack
API Design | AWS Bedrock | Agent Orchestration | Agent systems | Azure OpenAI | CI/CD | Cloud Microservices | Containerization | Embeddings | Fine Tuning | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hybrid retrieval | Language Models | Large Language Models | LoRA | Logging | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Observability | Orchestrator Worker | Orchestrator Worker Models | PII handling | Prompt engineering | Python | RAG | Security | TypeScript | Vector Databases | Vertex AI
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Senior AI Engineer
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