Applied AI Engineer – Remote Internship (Prefer US time zone) at GitRoll

Feedinkoo; United States; Remote; USD 70,000 - 90,000; Full time

Benefits offered by this job

Flexible hours

Direct mentorship from founding team

Impact on product development

Job summary

Feedinkoo is seeking enthusiastic individuals for a role focused on LLM development. Responsibilities include curating data signals from human inputs, prototyping LLM-based recruiting tools, and developing internal tools that integrate with CRMs and candidate workflows.

The ideal candidate will have a strong interest in applied LLMs and proficiency in Python. This role offers flexible hours and the potential for growth into a Founding Engineer or AI Agent Engineer position post-internship.

Qualifications

• Strong interest in applied LLM development (OpenAI, Claude, LangChain, etc.).
• Proficiency in Python with bonus for JS/React experience.
• Experience or interest in tools like Pinecone, Weaviate, Chroma, etc.

Responsibilities

• Curate structured data signals from human inputs.
• Prototype LLM-based tools for recruiting and matching tasks.
• Build prompt pipelines, evaluation loops, and small internal tools.

Skills

Python

LLM development interest

Data wrangling

Prompt engineering

CRM integration

Tools

Pinecone

Postgres

Notion

Job description

About the Role

• 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.

Responsibilities

• 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, and 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 (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 the 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 the internship.