AI Engineer
Tasks
- Apply prompt engineering best practices
- Build LLM powered pipelines for customer requests
- Design AI architecture for scalability and standards
- Design data ingestion and preprocessing pipelines
- Ensure production readiness with testing CI CD containerisation and monitoring
- Implement classification routing and decision workflows
- Implement structured outputs and human in the loop workflows
- Integrate AI solutions into business processes
- Monitor evaluate and optimise AI systems with observability tools
Perks/Benefits
Skills/Tech-stack
Async Programming | CI/CD | Continuous Deployment | Data Ingestion | Data Pipelines | Data Preprocessing | Docker | FastAPI | Human-in-the-loop | LLM Evaluation | LLM Observability | Langchain | Langgraph | Monitoring | OpenAI SDK | PostgreSQL | Prompt engineering | Python | REST APIs | Structured outputs | Testing | The Loop | Unstructured Data
Education
N/A
Roles
AI | AI Engineer | Engineer
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