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. 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. Desired Candidate Profile 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.