Mid-Level Full-Stack AI Solutions Engineer

Department Software Development Employment Full-time, exempt Location Hybrid / in-person southern Maryland

About AlarisPro AlarisPro is the aviation industry’s only aviation-minded, cloud-based UAS fleet management platform. It replaces spreadsheets and disconnected tools with one powerful system that unifies safety, compliance, and operational intelligence through centralized tracking of flights, maintenance, parts, and aircraft configuration. Now we are building the future of Preventive Maintenance Artificial Intelligence. AlarisPro is evolving from a data provider into an AI solutions integrator—turning trusted operational data into intelligence, recommendations, and better decisions for UAS operators. The Opportunity We are looking for a hands-on, growing engineer who can strengthen the platform we operate today while helping build the intelligent products of tomorrow. This is not a narrow database, front-end, or AI role. Working with experienced technical and product leaders, you will contribute across the current Microsoft-based application stack, modern cloud services, APIs, user experiences, and emerging AI capabilities. You will be successful if you enjoy modernizing real production systems, learn the aviation domain, use AI coding tools fluently, and work with product and design partners to move from raw information to trusted decisions. This is a hybrid position based in Southern Maryland. Applicants must currently reside in the United States and be legally authorized to work in the U.S. Company-paid relocation assistance is available for qualified candidates. Compensation will be competitive and commensurate with experience,

qualifications, and technical expertise.. What You Will Build? Evolve the current platform. Develop, optimize, secure, and maintain AlarisPro’s MSSQL, ASP.NET/.NET, IIS, API, and React capabilities. Create the modern AI stack. Contribute to cloud-native services, AI-enabled workflows, retrieval and reasoning capabilities, model integrations, evaluation approaches, and production-ready data pipelines. Applications that turn information into decisions. Build experiences that surface risks, identify patterns, recommend actions, and support preventive maintenance and operational decision-making. Connect the ecosystem. Design secure, documented REST APIs and integrations that allow internal services, customers, partners, and AI agents to work with AlarisPro data and capabilities. Build usable front ends. Create responsive, accessible interfaces that make complex safety, compliance, maintenance, and fleet intelligence understandable and actionable. Use AI-assisted engineering responsibly. Apply AI tools (e.g., Codex, Claude Code, Cursor, etc.) to accelerate discovery, prototyping, refactoring, testing, documentation, and delivery—with human review and production engineering discipline. Core

Responsibilities Production Platform & Data Develop and optimize T-SQL stored procedures, functions, triggers, views, schemas, indexes, and execution plans. Monitor reliability and performance; troubleshoot deadlocks, blocking, long-running queries, resource utilization, and application/database issues. Maintain data integrity, security, availability, backup/recovery practices, and compliance controls. Develop, debug, refactor, review, deploy, and support ASP.NET/.NET applications, React Native, and IIS-hosted services. AI, Cloud & Integration Prototype and deploy AI capabilities that use AlarisPro’s trusted operational data to improve maintenance, safety, compliance, and fleet decisions. Build and consume secure REST APIs using appropriate authentication patterns, including JWT, OAuth 2.0, API keys, and related controls. Contribute to cloud architecture, deployment automation, observability, CI/CD, testing, and scalable service design, with an emphasis on AWS environments. Help evaluate new models, frameworks, and coding agents; document findings, technical decisions, and measurable product outcomes. Product, Design & Collaboration Partner with customers and stakeholders to understand workflows, pain points, risks, and decisions—not simply requested features. Use Design Thinking and product management methods to frame problems, prototype quickly, test assumptions, prioritize value, and iterate from evidence. Bridge aviation operational

requirements, product objectives, user experience, and technical constraints to develop effective, practical software solutions. Contribute to roadmaps,

requirements, acceptance criteria, code reviews, technical documentation, testing, and release readiness. What We Are Looking For Required Experience Hands-on development with C# or VB.NET and ASP.NET Web Forms, MVC, .NET Core, or a comparable .NET application environment. Experience building and consuming REST APIs and working with cloud-hosted applications, databases, or services. Front-end development experience; HTML, JavaScript, CSS, React or comparable modern frameworks are strongly valued. Practical experience using Codex, Claude Code, Cursor, or similar AI coding tools. Working knowledge of Git, testing, secure development, code review, deployment, and production troubleshooting. Ability to contribute across the stack, communicate clearly, ask good questions, reliably estimate tasks assigned, document work, and deliver reliably and on time in a fast-moving environment. Preferred Experience 3+ years of professional software or data-platform engineering experience, including meaningful hands-on experience with Microsoft SQL Server and T-SQL. AWS architecture, application/API hosting, WebSocket’s, managed databases, and cloud observability. SQL Agent automation, Microsoft SQL database administration, IIS configuration, high availability, and performance engineering. Applied AI/ML, LLM integrations, retrieval-augmented generation, automated integration testing, model evaluation, or MLOps/LLMOps. Product discovery, Design Thinking, user research, prototyping, backlog prioritization, or pro