Principal AI Engineer – Automation & AI
Tasks
- Build API integrations and data pipelines
- Build RAG-based applications
- Build and maintain reusable prompt templates and agent patterns
- Build production-grade LLM applications
- Contribute to security data handling standards
- Design and deploy agentic AI workflows
- Design lightweight AI architectures
- Develop document intelligence summarization pipelines
- Develop evaluation and performance monitoring
- Develop prompt engineering strategies
- Implement orchestration logic
- Implement responsible AI practices
- Implement testing, validation, and monitoring
- Implement workflow and process automation
- Lead by hands on technical contribution
- Prototype validate and deploy AI solutions
- Provide technical guidance and mentorship
- Translate business problems into AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Cloud Computing | Data Pipelines | Document Intelligence | Evaluation | GCP | LLM | Langchain | Langgraph | Llamaindex | Monitoring | Orchestration | Prompt engineering | Python | RAG | Responsible AI | Security | Vector Database
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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