Job Description

This job is sourced from a job board. Learn More Potential to convert into a Founding Engineer or AI Agent Engineer role after internship 🎯 About the Role As an Applied AI Engineer Intern at Talex.ai, you’ll work closely with the founding team to: Curate structured data signals from messy human input (e.g., interviews, resumes, calls, chat logs) Prototype LLM-based tools that automate real-world recruiting and matching tasks Build prompt pipelines, retrieval chains, and evaluation loops for our AI agents Develop small internal tools that integrate with CRMs, Notion, and candidate workflows Assist in building MVP experiments that turn into core product modules 🧠 What We’re Looking For Strong interest in applied LLM development (OpenAI, Claude, LangChain, etc.) Proficiency in Python (bonus for JS/React experience) Experience or interest in tools like Pinecone, Weaviate, Chroma, Postgres, Supabase, or similar Hands-on with prompt engineering, data wrangling, and rapid prototyping Understanding of how data pipelines + frontend + product interact Bonus: past projects in recruiting tech, productivity apps, or agent frameworks 🔁 What You’ll Work On A candidate interview summarizer & intent extractor An agent that researches talent signals from web sources (aka automated headhunter) A resume parser & recruiter assistant tool Evaluation pipelines that score output relevance and impact 🌱 Why Join Us Learn how to build LLM apps from 0→1 inside a real business use case Build and ship fast with direct mentorship from founding team (engineers + operators) Flexible hours, async work style, and real impact on product Potential to convert into a Founding Engineer or AI Agent Engineer role after internship