Artificial Intelligence (AI) Engineer
Tasks
- Build and deploy agentic workflows
- Build knowledge graphs
- Build monitoring and evaluation pipelines
- Containerize and deploy AI services
- Create data ingestion workflows
- Deploy and manage Kubernetes services
- Design and build secure REST API interfaces
- Develop LLM integrated applications
- Generate embeddings and vectorization
- Implement rag pipelines
- Integrate AI services with enterprise systems
- Monitor model reliability and latency
- Optimize agent configurations
- Prompt engineer and optimize prompts
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Docker | Document ingestion | Embeddings | Evaluation Pipelines | GitHub | GitHub Copilot | Google Cloud | Kafka | Knowledge graphs | Kubernetes | LLM API | Langchain | Langgraph | Latency optimization | Monitoring | Prompt engineering | Python | RAG | REST API | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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