AI Engineering Intern (LLM)
Tasks
- Build multi-agent systems and manage prompts
- Create user interfaces using web frameworks
- Deploy applications using containers and orchestration tools
- Design system architectures and workflows
- Develop REST APIs and integrate message queues
- Fine-tune and customize AI models
- Implement semantic search with vector databases
- Monitor model performance and deployment metrics
- Prepare and manage AI/ML data
- Support development of AI research agents
- Test LLMs using evaluation tools
- Work with large language models and open-source LLMs
- Write and debug code using IDEs and version control
Perks/Benefits
Skills/Tech-stack
AI tuning | Cloud platform | Containers | CrewAI | Data Generation | DeepEval | Docker | ESLint | FastAPI | GitHub | GitLab | Google Cloud | Google Cloud Platform | Helm | JAX | Kubernetes | Langchain | Langsmith | Language Models | Large Language Models | Llamaindex | Lm-evaluation-harness | LoRA | Material UI | PyTorch | Pylint | Python | QLoRA | Ragas | React | Semantic Kernel | SonarQube | Synthetic Data Generation | Synthetic data | TensorFlow | Vertex AI | Vertex AI Tuning
Education
Roles
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