Fullstack Software Engineer

Mission

4

Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain‑specific AI. Unlike static systems, 4

Minds’s AI platform learns continuously from live data in real time and can be deployed on‑prem or your cloud provider.

Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adaptation, and ROI. Through 4

Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, AWS and Google, creating adaptive AI that surpasses the capabilities of conventional RAG‑based systems.

As a Full Stack Software Engineer at 4

MINDSAI, you will design and build the systems that bring the 4

MINDS platform to life across the full technology stack. You'll own features from API design and backend services through to the interfaces that enterprise users interact with daily, working across a modern cloud‑native architecture that spans multiple deployment environments.

This is a senior‑level role for an engineer who has built production systems at enterprise scale and knows what it takes to ship reliable, maintainable software in a fast‑moving environment. You'll report to the Engineering Manager and work closely with product, AI research, and infrastructure teams to deliver high‑impact features on a platform where reliability and performance are non‑negotiable.

If you thrive on owning complex problems end‑to‑end, move fluidly between frontend and backend challenges, and want to build at the intersection of enterprise software and frontier AI, this role is for you.

• Design, build, and ship full‑stack features across the 4
  
  MINDS platform, owning work from backend services and APIs through to frontend interfaces
• Architect scalable, maintainable systems that integrate with the 4
  
  MINDS knowledge graph, data pipeline, and AI services
• Build and optimize RESTful and GraphQL APIs for internal and external consumers
• Develop real‑time data flows and Web Socket connections that surface AI model outputs to end users
• Design and maintain database schemas and queries optimized for performance at enterprise data volumes
• Implement secure authentication, authorization, and audit capabilities that meet enterprise compliance requirements
• Collaborate with UI/UX designers to implement design systems and reusable component libraries
• Build and maintain microservices within a multi‑cloud and on‑premises deployment architecture
• Establish and uphold testing standards, CI/CD pipelines, and engineering best practices
• Participate in code reviews, technical planning, and architecture decisions
• Mentor junior engineers and contribute to engineering standards across the team

• Bachelor's degree in Computer Science, Engineering, or related technical field
• 5+ years of professional full‑stack development experience building and shipping production systems
• Strong proficiency in any/many of the following:
  React.js, Type Script, Node.js, Python (FastAPI), and/or Go
• Experience designing and building RESTful and GraphQL APIs
• Proficiency with SQL and No
  
  SQL databases including schema design and query optimization
• Experience with state management solutions such as Redux or Context API
• Solid understanding of authentication, authorization, and security patterns in enterprise applications
• Experience with containerization and orchestration technologies
• Experience working within CI/CD pipelines and modern Dev Ops practices
• Proven track record of building enterprise‑grade applications with high reliability and performance requirements
• Ability to work autonomously and drive technical decisions without constant direction
• Clear written and verbal communication with both technical and non‑technical stakeholders
• Deep ownership mindset: you care about outcomes, not job titles

• Master's degree in Computer Science, Engineering, or related technical field
• 7+ years of professional full‑stack development experience
• Experience building interfaces or backend services for AI/ML platforms
• Familiarity with knowledge graphs, RAG systems, or…