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