Applied AI Consultant Engineer
Tasks
- Architect multi agent systems for multi step tasks
- Build and maintain MCP servers to expose tools and APIs
- Build automated data extraction cleaning filtering and transformation workflows
- Build reusable components for query generation and multi source data integration
- Communicate technical approaches to non technical stakeholders
- Contribute to project scoping and deliverable preparation
- Define and package custom skills and automation workflows for agents
- Design and deploy LLM powered agents for recurring consulting tasks
- Design and execute strategic consulting projects
- Design and implement Python data pipelines
- Design prompt strategies and validation logic for structured outputs
- Ensure robustness logging and maintainability of AI workflows
- Integrate LLM APIs for classification and information extraction
- Translate business problems into AI solutions
Perks/Benefits
Skills/Tech-stack
API Integration | Agent systems | Agent/tool use | Data Transformation | Data cleaning | Data integration | Data pipeline | Error Handling | Information Extraction | JSON | Knowledge graphs | LLM API | Logging | MCP server | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | REST APIs | SQL | Structured Output | Tool use | Vector Databases
Education
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