Principal AI Engineer – Automation & AI
Tasks
- Build API integrations and data pipelines
- Build and deploy agentic AI workflows
- Create document intelligence and summarization pipelines
- Create testing validation and monitoring frameworks
- Design AI automation solutions
- Design lightweight AI architectures
- Develop RAG-based applications
- Develop orchestration logic
- Implement prompt engineering strategies
- Implement workflow and process automation
- Maintain reusable prompt templates and agent patterns
- Monitor model performance and evaluations
- Prototype validate and deploy AI systems
- Provide technical guidance and mentorship
- Translate business problems into AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | API Integration | AWS | Agent systems | Agentic Workflows | Azure | Cloud Computing | Cloud platform | Data handling | Document Summarization | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Orchestration | Prompt engineering | Python | RAG | Responsible AI | Security | Vector Databases | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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