Job description

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

Required profile