Data AI Engineer
Tasks
- Apply safety guardrails for AI services
- Build MCP agents and tool integrations
- Build data pipelines for extraction transformation and embedding generation
- Create evaluation frameworks for LLM applications
- Design AI powered features for partner experience
- Develop RAG pipelines for SaaS augmentation
- Handle exceptions in AI workflows
- Implement assisted intake and onboarding automation
- Implement vector storage and retrieval
- Integrate Azure OpenAI and Alibaba Tongyi Qianwen
- Monitor production AI services
- Perform prompt engineering for production AI
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Azure OpenAI | Azure OpenAI Service | Chat Completions | Data Pipelines | ELT | ETL | Embedding Models | Embeddings | Evaluation | FastAPI | Flask | Function Calling | LLM | MCP | Monitoring | OpenAI APIs | OpenAI Service | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Safety Guardrails | Tool use | Vector Databases | Vector storage
Education
N/A
Roles
Regions
Countries
States
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