Full-Stack AI & Automation Engineer

WALT Labs

Greater London

On-site

GBP 60,000 - 90,000

Full time

7 days ago
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Job summary

WALT Labs in Greater London seeks a capable Full Stack Developer to build and ship the Companion product suite — an AI-powered automation and intelligence platform.

You will implement Companion modules, AI agents, automation workflows, MCP server integrations, and ensure production-grade code with tests and security.

Reporting to the VP of Product, you’ll deliver roadmap features and contribute to secure, scalable integrations with Salesforce, QuickBooks, Harvest, and BigQuery.

Qualifications

  • 3+ years of full-stack software development with production deployments.
  • Proficiency in modern frontend frameworks (React or equivalent) and backend API development.
  • Experience building and integrating with APIs, webhooks, and third-party platforms.
  • Solid understanding of CI/CD pipelines, version control (Git), and release management.
  • Demonstrated ability to write clean, tested, maintainable code with security in mind.

Responsibilities

  • Develop Companion modules across UI, API, data, and AI agent layers.
  • Implement AI agents, automation workflows, and routing logic connecting to systems.
  • Build and maintain MCP servers and cross-system integrations (Salesforce, QuickBooks, Harvest, BigQuery).
  • Write production-grade code with tests; follow CI/CD, security, and release processes.
  • Own operational health of features including monitoring, incidents, and post-deploy fixes.

Skills

Full-stack
React frontend
Backend APIs
APIs & Integrations
CI/CD & Git
Security mindset

Job description

WALT Labs in Greater London seeks a capable Full Stack Developer to build and ship the Companion product suite — an AI-powered automation and intelligence platform.

You will implement Companion modules, AI agents, automation workflows, MCP server integrations, and ensure production-grade code with tests and security.

Reporting to the VP of Product, you’ll deliver roadmap features and contribute to secure, scalable integrations with Salesforce, QuickBooks, Harvest, and BigQuery.

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