- Job Description
Job type
-
Internship
Shift and schedule
-
Day shift
Benefits
Pulled from the full job description
- Paid sick time
Full job description
Role Summary:
This role goes beyond traditional data analysis. You will work on building automated workflows, integrating LLMs and AI agents, and driving data-informed decision-making through dynamic tools and platforms.
Responsibilities:
- Analyze, clean, and visualize data using Python (Pandas, NumPy, Matplotlib, etc.)
- Work with Large Language Models (OpenAI, Anthropic, etc.) for prompt engineering and text analysis
- Build and manage AI agents using LangChain, AutoGen, or similar frameworks
- Design and deploy automation workflows in n8n and Make (Integromat)
- Create internal tools that combine APIs, AI, and logic-based automation
- Integrate vector databases like FAISS or Pinecone for intelligent memory and retrieval
- Document workflows, maintain clean codebases, and report insights clearly
Requirements:
- Currently pursuing or recently completed a degree in Data Science, Computer Science, or related fields
- Strong Python skills; experience with data libraries (Pandas, NumPy, etc.)
- Familiarity with LLM APIs (OpenAI, Claude, Mistral, etc.)
- Basic understanding of automation platforms like n8n and Make
- Strong problem-solving skills and eagerness to experiment with new tools
- Good written and verbal communication
Bonus Skills (Nice to Have):
- Experience with LangChain, AutoGen, or other AI agent frameworks
- Understanding of webhooks, APIs, and app integrations
- Experience with Zapier, Airtable, Google Sheets API, or similar tools
- Knowledge of vector embeddings and retrieval-augmented generation (RAG)
Job Type: Internship
Contract length: 3 months
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