Lead AI Engineer
Tasks
- Apply security, privacy, and responsible AI practices
- Build and orchestrate agentic AI systems
- Define reference architectures and CI CD pipelines
- Design end to end DocAI solutions
- Develop RAG architectures for enterprise retrieval
- Develop scalable AI services
- Establish LLM RAG evaluation frameworks
- Implement and operate vector databases
- Implement monitoring and observability for AI in production
- Perform code reviews testing and reliability engineering
- Produce technical documentation and runbooks
- Support incident triage and continuous improvement
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | BigQuery | CI/CD | Chunking | Citations | Cloud Run | Cloud Storage | Cloud platform | Document AI | Embeddings | FastAPI | Function Calling | GCP | GKE | Google Cloud | Google Cloud Platform | Grounding | Guardrails | IAM | Indexing | Integration Testing | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Monitoring | OCR | Observability | Orchestration | Performance optimization | PubSub | Python | RAG | ReactJS | Reranking | Retrieval-Augmented Generation | Secure Coding | Semantic Search | Tool use | Unit Testing | VPC | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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