Artificial Intelligence (AI) Engineer
Tasks
- Build and deploy agentic workflows
- Build knowledge graphs
- Build monitoring and evaluation pipelines
- Containerize and deploy AI services
- Create document ingestion workflows
- Deploy to Kubernetes
- Design secure REST API integrations
- Develop LLM integrated applications
- Generate embeddings and vectorization pipelines
- Implement rag pipelines
- Integrate AI services with enterprise platforms
- Optimize prompts and agent configurations
- Track model reliability and latency
Perks/Benefits
Skills/Tech-stack
API Integration | Airflow | CI/CD | Cloud Native | Cloud-native AI | Docker | Embeddings | Kafka | Knowledge graphs | Kubernetes | LLM | Langchain | Langgraph | Prompt engineering | Python | RAG | REST APIs | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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