AI Intern

Job Description

Safal Partners is looking for an AI Engineering Intern to join us for the summer and help us push the frontier of what AI can do inside a consulting firm focused on public-sector impact. You'll work directly with senior leadership and consultants on real problems with real stakes.

• 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
• Developing reusable platform capabilities such as authentication, role-based access, file storage, audit logging, and secure environment-variable management

What We're Looking For

• 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 Have

• 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

What You'll Get

• 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