MakiPeople Tech Stack

AI agents for autonomous hiring workflows and talent intelligence

Software Development New York City, New York 51–200 employees Founded 2021 Privately Held

MakiPeople automates hiring workflows with AI agents that execute screening, scheduling, and candidate assessment at scale. The tech stack reveals a data-intelligence focus: BigQuery, Snowflake, dbt, and Airflow handle the data layer; GPT-4, BERT, and PyTorch power assessment models; n8n orchestrates agent workflows. Active projects center on embedding models, psychometric calibration, and scoring pipelines—signaling investment in fairness and precision over speed alone. The hiring mix (8 engineers, 6 researchers) and pain points around "fairness in AI scoring" and "optimizing scoring precision" indicate the company is solving a hard problem: making AI-driven hiring defensible, not just fast.

Tech Stack 25 technologies

Core StackHubSpot Salesforce BigQuery Snowflake dbt Apache Airflow Looker Metabase Python TypeScript PostgreSQL React GraphQL n8n PyTorch Hugging Face SQL GCP Lemlist LinkedIn GPT-4 BERT DeepSeek OpenAI API Poetry

What MakiPeople Is Building

◆Challenges

Scaling sales org
Scaling ai deployments
Optimizing scoring precision
High turnover
Optimising workforce strategies with assessment data
Maintaining system stability
Inefficient recruitment processes
Time-to-hire reduction
Ensuring fairness in ai scoring
Building pipeline from scratch

▲Active Projects

Benchmarking semantic embedding models for assessments
Developing hybrid scoring pipelines
Pilot implementation support
Automated scoring algorithm development
Core data pipelines for ai agents
Evaluating and calibrating psychometric models
Ai agent deployment for enterprise customers
Seo program
Transitioning founder-led selling to scalable motion
Driving 7-figure enterprise deals

Hiring Activity

Steady30 roles · 10 in 30d

Department

Engineering

Research

Sales

Support

Marketing

Data

Ops

Seniority

Senior

Mid

Manager

Intern

Lead

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About MakiPeople

MakiPeople builds autonomous AI agents that integrate into existing HR tools (HubSpot, Salesforce) to handle talent acquisition and internal mobility. Founded in 2021 and headquartered in New York, the company targets mid-to-large organizations looking to scale hiring while reducing manual overhead. The product captures unstructured talent data (CVs, interview transcripts, assessments) and surfaces actionable signals on skills and potential. Core operations span candidate evaluation, hiring workflow automation, and ongoing talent analytics. The team is actively hiring across the US, UK, and France, with notable velocity in engineering and research roles.

HeadquartersNew York City, New York

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States, France, United Kingdom

Frequently Asked Questions

What AI models does MakiPeople use?

GPT-4, BERT, DeepSeek, and PyTorch for embeddings and scoring. Models are integrated via OpenAI API and Hugging Face libraries, with active projects on calibrating psychometric models and benchmarking semantic embeddings for assessments.

What countries does MakiPeople hire in?

United States, France, and United Kingdom. The company has 51–200 employees with headquarters in New York City.