AI Engineering Intern (LLM)
Paramus, NJ, United States
USD 42K-50K Entry-level Internship Found 8d ago
Tasks
- Apply PEFT methods LoRA QLoRA
- Build interfaces with React Angular Material-UI
- Build multi-agent systems with Semantic Kernel CrewAI LangGraph
- Containerize with Docker
- Design system diagrams and workflows
- Develop REST APIs with FastAPI
- Ensure code quality with SonarQube ESLint Pylint
- Evaluate models with HELM lm-evaluation-harness
- Fine-tune models with Vertex AI Tuning
- Generate synthetic data
- Implement semantic search with Vertex AI Vector DBs
- Integrate message queues Apache Kafka Redis Streams
- Manage code with GitHub GitLab
- Manage prompts with LangSmith
- Monitor LLMs performance and costs with LangSmith Weights & Biases OpenMeter
- Orchestrate with Kubernetes GKE
- Prepare and manage AI/ML data
- Prototype UI/UX in Figma
- Set up evaluation pipelines
- Test using RAGAS DeepEval LangSmith
- Track tasks in JIRA
- Train models in PyTorch TensorFlow JAX
- Use Google AI Studio VS Code GitHub Copilot Cursor
- Use LangChain LlamaIndex for LLM applications
- Utilize Google Cloud services Vertex AI GKE Cloud Run Cloud Functions
- Work with LLMs like Gemini GPT Claude Sonnet
Perks/Benefits
Skills/Tech-stack
N/A
Education
Roles
Language: en |
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