AI Intern

Summary

Safal Partners is a consulting firm focused on public-sector impact, seeking an AI Intern for Summer 2026. The intern will work with senior leadership on developing AI tools for consulting teams, applying large language models to data, and shaping internal AI strategies.

Responsibilities

• Prototyping internal AI tools that streamline research, analysis, and writing for our consulting teams
• Building agentic workflows and integrations (Claude, MCP servers, retrieval systems) tailored to education and workforce data
• Applying LLMs to large unstructured datasets: survey responses, policy documents, program evaluations, to surface insights at a scale humans alone cannot reach
• Helping shape our internal AI strategy, evaluation frameworks, and responsible-use practices
• Exploring novel client-facing AI products in the education and workforce space
• Building and improving full-stack AI applications using Next.js, React, TypeScript, Python, and FastAPI
• Deploying and testing applications using Vercel for front-end applications and Railway for back-end services, APIs, and databases
• Developing dashboards, data upload workflows, report-generation surfaces, and user interfaces for AI-assisted analysis
• Integrating AI models with application workflows, including document parsing, structured extraction, summarization, classification, and insight generation
• Helping improve reusable platform capabilities such as authentication, role-based access, file storage, audit logging, and secure environment-variable management

Skills

• Currently pursuing a degree at a top-tier institution in Computer Science, EECS, AI, Data Science, or a related field (undergraduate, Master's, or MEng candidates welcome)
• Hands-on experience building with modern LLMs prompting, fine-tuning, RAG, agents, or tool use
• Comfort with Python and the modern AI/ML stack; experience with TypeScript, JavaScript, React, or Next.js is a strong plus
• Strong written communication; you can explain a technical idea to a non-technical client and write clean documentation
• Curiosity about education, workforce, and public-sector impact
• Initiative and ownership; we are a lean team and interns ship real work
• Experience with LLM APIs or agentic systems, including Anthropic, OpenAI, Gemini, MCP, Google ADK, LangGraph, CrewAI, or similar tools
• Background in evals, prompt engineering, or AI safety
• Prior internship or research experience at an AI lab, startup, or applied-AI team
• Familiarity with education or workforce data
• Experience with Vercel, Railway, FastAPI, PostgreSQL, Redis, or cloud deployment workflows
• Experience with Next.js, React, TypeScript, Tailwind CSS, dashboards, or data visualization libraries
• Experience building secure application features such as authentication, role-based access, audit logging, or file upload/storage workflows
• Experience with document processing, including PDFs, Word documents, spreadsheets, HTML, or structured/unstructured text
• Familiarity with GitHub workflows, pull requests, staging/production environments, and collaborative software development

Qualifications

Must Haves

• Currently pursuing a degree at a top-tier institution in Computer Science, EECS, AI, Data Science, or a related field (undergraduate, Master's, or MEng candidates welcome)
• Hands-on experience building with modern LLMs prompting, fine-tuning, RAG, agents, or tool use
• Comfort with Python and the modern AI/ML stack; experience with TypeScript, JavaScript, React, or Next.js is a strong plus
• Strong written communication; you can explain a technical idea to a non-technical client and write clean documentation
• Curiosity about education, workforce, and public-sector impact
• Initiative and ownership; we are a lean team and interns ship real work

Nice to Haves

• Experience with LLM APIs or agentic systems, including Anthropic, OpenAI, Gemini, MCP, Google ADK, LangGraph, CrewAI, or similar tools
• Background in evals, prompt engineering, or AI safety
• Prior internship or research experience at an AI lab, startup, or applied-AI team
• Familiarity with education or workforce data
• Experience with Vercel, Railway, FastAPI, PostgreSQL, Redis, or cloud deployment workflows
• Experience with Next.js, React, TypeScript, Tailwind CSS, dashboards, or data visualization libraries
• Experience building secure application features such as authentication, role-based access, audit logging, or file upload/storage workflows
• Experience with document processing, including PDFs, Word documents, spreadsheets, HTML, or structured/unstructured text
• Familiarity with GitHub workflows, pull requests, staging/production environments, and collaborative software development

Benefits

• Direct mentorship from senior leaders across consulting, data, and engineering
• Exposure to how AI is reshaping a real industry and a voice in how we navigate it
• Competitive intern compensation
• A demonstrated path to full-time conversation for strong performers