AI Engineering Intern
Tasks
- Build and test AI agents
- Collaborate to identify and implement AI use cases
- Create reusable prompts and agent instructions
- Design RAG based solutions
- Develop document ingestion and chunking pipelines
- Identify hallucinations and retrieval gaps
- Implement AI evaluation methods
- Implement Responsible-AI guardrails
- Integrate large language models with enterprise systems
- Monitor agent performance latency reliability token usage and cost
- Prepare knowledge documents for retrieval
- Support Slack based AI workflows
- Support testing troubleshooting documentation deployment and maintenance
Perks/Benefits
Skills/Tech-stack
AI orchestration | APIs | Agent Frameworks | Agentic AI | CI/CD | Chunking | Data Structures | Databases | Docker | Document ingestion | Embeddings | Generative AI | Git | Indexing | Java | JavaScript | Language Models | Large Language Models | Metadata Management | Model Context Protocol | Observability | Privacy | Prompt engineering | Prompting | Python | RAG | REST APIs | Responsible AI | Retrieval | Security | Semantic Search | Token Usage Monitoring | Token usage | Tool-Calling | Usage monitoring | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineering | AI Engineering Intern | Engineering Intern | Intern
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