Murphy AI Tech Stack

AI voice agent platform for debt collection and invoice recovery

Financial Services Barcelona, Barcelona 11–50 employees Privately Held

Murphy AI builds a voice AI platform for debt collection, running Python + TypeScript + Node.js on Kubernetes/AWS/GCP infrastructure with Kafka for event streaming and OpenAI for conversational agents. The tech stack reflects a company scaling real-time voice interaction at infrastructure level—Kafka + Airflow + Datadog suggest they're moving beyond simple call automation into orchestrated, observable agent pipelines. Hiring is accelerating with heavy engineering focus (9 roles) and three VP-level openings, indicating rapid product expansion and operational scaling in a regulated domain.

Tech Stack 15 technologies

Core StackPython TypeScript Node.js Kafka PostgreSQL OpenAI AWS Kubernetes Apache Airflow Datadog Jira Terraform GCP AWS EKS OpenTofu

What Murphy AI Is Building

◆Challenges

Debt recovery efficiency
Scaling debt recovery operations
Autonomous debt recovery
Debt recovery scalability
Making debt recovery more efficient
Complex financial negotiations
Emotional conversations
Scaling engineering organization
Risk-spotting function
Optimizing recovery rates with respectful communication

▲Active Projects

Design process automation
Implement modern legal tech stack
Build proactive risk-spotting function
Ai-driven debt collection platform
Agent performance optimization
Scalable backend architecture
Real-time voice interaction pipelines
Context-aware conversational flows
Scalable orchestration systems
Ai model productionization

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Engineering

Legal

Product

Finance

Support

Seniority

Senior

Lead

Junior

Manager

Mid

Notable leadership hires: Head of Finance

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About Murphy AI

Murphy AI operates an AI-driven debt collection platform serving mid-market and enterprise finance teams. The product automates outreach and negotiation across voice, SMS, email, WhatsApp, and other channels using conversational AI agents, designed to improve recovery rates while maintaining respectful debtor engagement. The Barcelona-based team is actively building around agent performance optimization, real-time voice pipelines, and proactive risk detection—suggesting evolution from basic automation toward more nuanced financial negotiation. Early-stage hiring pattern (11–50 employees, UK expansion underway) indicates product-market fit in European markets with plans to scale operations and engineering capacity.

HeadquartersBarcelona, Barcelona

Company Size11–50 employees

Hiring MarketsSpain, United Kingdom

Frequently Asked Questions

What tech stack does Murphy AI use?

Python, TypeScript, Node.js, Kafka, PostgreSQL, OpenAI, AWS, GCP, Kubernetes, Apache Airflow, Datadog, Terraform, and OpenTofu.

What is Murphy AI working on?

AI agent performance optimization, real-time voice interaction pipelines, scalable backend architecture, proactive risk-spotting functions, and context-aware conversational flows for debt recovery automation.