Artificial Intelligence (AI) Engineer
Tasks
- Build and deploy agentic workflows
- Build embeddings and vectorization pipelines
- Build monitoring and evaluation pipelines
- Containerize and deploy AI services
- Create document ingestion workflows
- Deploy and manage Kubernetes workloads
- Design and build secure API interfaces
- Develop LLM integrated applications
- Implement Knowledge Graphs
- Implement rag pipelines
- Integrate AI services with enterprise systems
- Optimize prompts and agent configurations
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Cloud platform | Data Pipelines | Docker | Docker Compose | Embeddings | GitHub Copilot | Google Cloud | Google Cloud Platform | Kafka | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Model Evaluation | Monitoring | Prompt engineering | Python | RAG | REST APIs | Streaming Data | Streaming data pipelines | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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