- Help set up and test AI agent systems and orchestration tooling
- Assist in designing and running RAG (retrieval-augmented generation) pipelines for our knowledge bases
- Support the creation of memory systems that allow AI models to use past interactions for future decision-making
- Help build tools to track AI performance and catch quality issues before they reach clients
- Work with team members to extract and organize data from text and other document types
- Take part in error analysis to identify and solve issues with model outputs
- Join feedback sessions and apply guidance to improve AI model behavior
- Currently studying computer science, data science, or a closely related field
- Comfortable writing Python and motivated to learn new tools quickly
- Curious about AI and actively keeping up with new models, techniques, and frameworks
- You ask questions, take direction from mentors, and follow through on what you commit to
- Comfortable working independently on defined tasks and collaborating effectively when the work requires it
- Some hands-on experience building AI or ML projects—class projects, hackathons, or personal work all count
- Familiarity with basic LLM concepts or simple agent frameworks (LangChain, LlamaIndex, DSPy, or similar)
- Experience creating or working with datasets for training or evaluation purposes
- A habit of looking at real outputs to find errors—you’re not satisfied until you understand why something went wrong
- A drive to try new ideas quickly, learn from the results, and iterate
- Backend: Python, FastAPI
- Persistence: PostgreSQL with pgvector
- Frontend: React, Next.js
- Infrastructure: Render (PaaS), Supabase, Vercel, AWS
- AI Tools: LiteLLM, DSPy
- Observability: Langfuse
- Developer Tools: Claude Code, Cursor
- Real exposure, not busywork. You’ll work on production AI systems alongside engineers who take craft seriously. Every task connects to something that ships.
- Front-row seat. You’ll work day-to-day with the people building and running one of the fastest-growing AI consulting firms in the country.
- AI-native culture. We don’t just build AI for clients. We use it to run our own operations. You’ll learn how a team actually works with these tools at the frontier.
- Room to grow. Strong interns get more responsibility. This is a proving ground, not a placeholder.
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What We Do
Cadre is an AI strategy and integration firm focused on helping organizations unlock the power of AI to drive measurable business results that grow revenue, increase EBITDA, and unlock scalability. We implement best-in-class AI tools and technologies to AI-Enable your business and create a lasting competitive advantage. Our combination of entrepreneurial experience, strong operational understanding and technical AI expertise enables us to help our clients integrate cutting-edge AI technologies to drive efficiency, productivity, and growth. As a team we take an “ownership mindset” to our clients business, asking ourselves “what moves would I make if this was my business” and are committed to transforming your company into a “future-proof” organizations by leveraging the power of AI to achieve operational excellence and enhanced profitability and putting you ahead of your competitors and industry.
