Job Description
The Junior Software / AI Engineer owns the technical execution layer that powers how 10 Federal Storage shows up digitally and how its internal teams get work done. This role is responsible for the company website and web application, provides technical support to the marketing team, and builds the internal tools and automations that reduce manual work across the business. It sits at the intersection of product, marketing, and operations. Every output ships to a real audience or a real team. This person will be embedded in an environment where AI is not an afterthought. The company is actively building AI-powered workflows, agents, and automations across every division: accounting, operations, marketing, investments, and construction. This engineer will be a core part of that build-out, not a passenger. They will write code that connects platforms, automates processes, and makes the business faster without adding headcount. This is not a role for someone who needs a fully defined spec before they can start. The right candidate is someone who gets dropped into a new problem, figures out the right approach, builds it, and ships it. Formal credentials matter far less than the ability to build things that work. KEY RESPONSIBILITIES Website Ownership: Own the design, development, and ongoing maintenance of the 10 Federal Storage website. Responsible for performance, content updates, SEO structure, and ensuring the site accurately represents the brand and drives leads. Web Application Development: Build and maintain internal and customer-facing web applications. Take features from concept to production, manage deployments, and maintain reliability across environments. Marketing Technical Support: Work directly with the marketing team to implement landing pages, campaign assets, tracking integrations, and any technical work that sits between strategy and execution. Be the person marketing calls when something needs to get built. Internal Tool Development: Design and build tools that reduce manual work across operations, accounting, investments, marketing, and construction. This includes dashboards, data entry interfaces, reporting tools, and anything else that replaces a spreadsheet or a manual process with something better. Automation and Integration: Write automations and integrations that connect the company' platforms: property management systems, CRM, marketing tools, and data infrastructure. Help execute the broader AI workflow build-out the company is investing in. Maintenance and Iteration: Own what you build. Monitor production systems, respond to issues, and continuously improve existing tools based on feedback from the teams using them. WHAT WE'RE LOOKING FOR We value mindset and the ability to deliver over a specific number of years or a checklist of tools. The right candidate will demonstrate the following: Builder instinct: Your default when faced with a problem is to build a solution, not find a vendor. You are comfortable starting from a blank file and producing something that works. Genuine interest in AI: You are actively using AI tools in your workflow and thinking about how they change what's possible. This doesn't mean you have a PhD in machine learning. It means you are paying attention and building with these tools. Full-stack fluency: You can work across the stack: front-end, back-end, APIs, databases. You may have stronger depth in one area, but you don't stop at the boundary of your comfort zone. Bias toward shipping: You would rather put something in front of a user and iterate than spend weeks polishing in isolation. You understand that feedback from real usage is more valuable than pre-launch perfection. Cross-functional communication: You can sit with a non-technical stakeholder, understand what they actually need, and translate that into something you can build. No formal requirements document required. Ownership mentality: You treat the systems you build like they're yours. You monitor them, fix them when they break, and care about the experience of the people using them. Some technical foundation is required, but we don't care where it came from. A degree, a bootcamp, self-teaching, a personal project, a GitHub repo you built at 2am because you had an idea and couldn't let it go. What matters is that you have built something real and can show us what you made. NICE TO HAVE Experience building or deploying AI-powered features, agents, or automations Familiarity with the Microsoft ecosystem (Azure, Power Automate, Power BI, Fabric) Experience with CMS platforms, landing page builders, or marketing tech stacks Background working in a lean, fast-moving organization where you wore multiple hats Exposure to real estate, self-s