AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Create prompting evaluation and monitoring workflows
- Design data pipelines for AI systems
- Engineer trust and control guardrails
- Establish testing and observability for LLM systems
- Experiment and refine prompts tools retrieval and routing
- Implement human-in-the-loop mechanisms
- Implement tool use and function calling with LLMs
- Integrate LLMs into security critical workflows
- Lead design and implementation of AI systems end to end
- Optimize architecture for scalability latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
Cost Optimization | Data Pipelines | Evaluation | Function Calling | Graph Databases | Guardrails | Human-in-the-loop | Hybrid retrieval | Knowledge graph | LLM orchestration | Language Models | Large Language Models | Latency optimization | Model routing | Monitoring | Multi-tenancy | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Text to Data | Text to Query | Text-to-SQL | The Loop | Tool use
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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