Principal AI Engineer
Tasks
- Architect AI orchestration architectures
- Build advanced RAG pipelines
- Design multi agent workflows and routing layers
- Ensure secure predictability and explainability
- Implement responsible AI governance guardrails
- Integrate LLMs into enterprise software
- Lead end to end intelligent agent system design
- Manage continuous experimentation cycles
- Optimize latency cost and reliability
- Prototype benchmark and evaluate agent behavior
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | API Design | AWS | Agent systems | Benchmarking | Cloud Computing | Context window | Context window optimization | Cost Optimization | Data Privacy | Distributed Systems | Experimentation | Explainability | Foundation Models | GCP | Governance | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Performance optimization | RAG | Retrieval-Augmented Generation | Routing | Security | System Integration | System design | Token Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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