AI Engineer Intern

Qualifications

• Strong background in Python, AI/ML libraries (e.g. Langchain, LlamaIndex, HuggingFace, OpenAI API)
• Familiarity with RAG pipelines, LangChain Agents, or vector DBs (like Pinecone, Chroma)
• Bonus: experience with political data, NLP in adversarial or low-signal environments
• Bonus: strong interest in game theory, behavioral economics, and/or socio-psychology
• A credible name on your resume: AI startup founded by a Harvard MBA / MIT Developer

Benefits

• Early-stage equity (vesting schedule) if offered fulltime position
• Recommendation letters for future jobs or grad school
• Flexible, autonomous environment
• Competitive compensation once funding is secured
• Actual ownership: you’ll build meaningful features that get shipped

Responsibilities

• Work on real-world AI problems at the intersection of politics and machine intelligence
• Build and fine-tune LLM-based agents with memory and long-term reasoning
• Develop workflows for prompt chaining, multi-agent orchestration, and API integrations
• Contribute to infrastructure design for persistent, scalable agent deployments
• Implement scraping + monitoring pipelines to track stakeholder communication (e.g. legislators’ Twitter, press releases)

Full Description

Data Science, AI & LLM Engineering Intern (Summer 2025)Wipp.ai – Remote Internship

Work on real-world AI problems at the intersection of politics and machine intelligence.

About the Role

We’re building Wipp.ai, an agentic simulation platform that models how policymakers, lobbyists, and coalitions behave in real political environments. As an engineering intern, you’ll help design the infrastructure behind our agentic systems and build intelligent tools that interact with real-time data.

What You'll Do

• Build and fine-tune LLM-based agents with memory and long-term reasoning

• Develop workflows for prompt chaining, multi-agent orchestration, and API integrations

• Contribute to infrastructure design for persistent, scalable agent deployments

• Implement scraping + monitoring pipelines to track stakeholder communication (e.g. legislators’ Twitter, press releases)

Ideal Candidate

• Strong background in Python, AI/ML libraries (e.g. Langchain, LlamaIndex, HuggingFace, OpenAI API)

• Familiarity with RAG pipelines, LangChain Agents, or vector DBs (like Pinecone, Chroma)

• Bonus: experience with political data, NLP in adversarial or low-signal environments

• Bonus: strong interest in game theory, behavioral economics, and/or socio-psychology

What You’ll Get

• Early-stage equity (vesting schedule) if offered fulltime position

• Recommendation letters for future jobs or grad school

• A credible name on your resume: AI startup founded by a Harvard MBA / MIT Developer

• Flexible, autonomous environment

• Competitive compensation once funding is secured

• Actual ownership: you’ll build meaningful features that get shipped