Principal AI Engineer – Automation & AI
Tasks
- Apply responsible AI practices
- Automate workflows and processes
- Build API integrations and data pipelines
- Build production-grade LLM applications
- Build reusable prompt templates and agent design patterns
- Create testing validation and monitoring frameworks
- Design and deploy agentic AI workflows
- Design lightweight AI architectures
- Develop RAG-based applications
- Develop orchestration logic
- Evaluate AI performance and monitoring
- Implement document intelligence and summarization pipelines
- Implement prompt engineering strategies
- Implement security and data handling standards
- Partner with stakeholders to refine AI outputs
- Prototype validate and deploy AI solutions
- Provide technical guidance and mentorship to AI engineers
- Release AI updates on weekly or biweekly cadence
- Translate business problems into AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | Cloud Computing | Document Intelligence | Evaluation Frameworks | Google Cloud | Guardrails | LLM | Langchain | Langgraph | Llamaindex | Monitoring | Orchestration | Prompt engineering | Python | RAG | System Integration | Vector Database | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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