Staff AI Software Engineer

Discover the Opportunity

We're looking for a Staff AI Software Engineer who is equally passionate about building software and elevating engineering standards. This is a 50% hands-on coding and 50% technical leadership role, where you'll work closely with the engineering team to define best practices, improve development workflows, and help shape sprint planning and technical execution.

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Discover the Responsibilities

• Hands on: Design, build, and scale modern full-stack applications with a focus on performance, scalability, and reliability.

  
  

• Provide technical leadership by mentoring engineers, conducting code reviews, and championing engineering best practices.

  
  

• Define coding standards, software architecture, and development processes that improve quality and consistency across the engineering team.

  
  

• Partner with Product Managers and Engineering Leadership to shape sprint planning, break down technical initiatives, estimate work, and improve delivery.

  
  

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Discover the Requirements

• 8+ years of experience in software engineering, with experience operating at Staff, Principal, or Technical Lead level.

  
  

• Strong commercial experience with Java and the Spring ecosystem (Spring Boot, Spring Cloud, Spring MVC).

  
  

• Strong full-stack development experience using React, Next.js, TypeScript, and modern frontend technologies.

  
  

• Experience designing and building distributed, microservices-based architectures.

  
  

• Experience building and consuming REST APIs and event-driven systems.

  
  

• Experience working with PostgreSQL and/or MongoDB.

  
  

• Experience with Docker, containerisation, Git, CI/CD pipelines, and cloud-native development.

  
  

• Strong understanding of software architecture, design patterns, scalability, and system performance.

  
  

• Experience mentoring engineers and influencing technical direction across multiple teams.

  
  

• Excellent communication and stakeholder management skills.

  
  

• Experience building AI-native products or integrating LLMs into production systems.

  
  

• Hands on experience with RAG, AI agents, vector databases, LangChain, LangGraph, MCP, or similar AI frameworks.

  
  

• Experience with Python and FastAPI for AI services.

  
  

• Experience working in high-growth startups or scaling technology businesses.

  
  

• Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

  
  

• Experience working with AI coding assistants such as Claude, Codex, Cursor, or GitHub Copilot.

  
  

• Comfortable working in a fast paced startup environment with a high degree of ownership.​