Senior Software Engineer w/ AI

Senior Software Engineer

About The Methodical Group

The Methodical Group (methodicalgroup.com) is a leading global provider of IT Services, Consulting, and Specialized Staffing Solutions, operating with a systematic, high-quality approach for over 25 years. Headquartered in St. Petersburg, Florida, we use proprietary frameworks to provide specialized workforce solutions, including permanent placement and contract staffing, across a wide range of industries.

Our IT and Business Services division delivers expertise in Software Development, Cloud Solutions, Data & Analytics, Artificial Intelligence, and IT Operations, helping organizations accelerate innovation, improve efficiency, and achieve their digital transformation goals.

About The Role

We are seeking an experienced Senior Software Engineer to join our client's team and play a critical role in building, enhancing, and scaling modern SaaS products and enterprise software solutions. This role is ideal for someone who possesses deep expertise in .NET technologies, distributed systems, cloud architecture, and SQL Server, while also embracing the rapidly evolving landscape of AI-enabled software development.

As a senior member of the engineering team, you will design, implement, and optimize applications, services, APIs, and integrations that support core business operations and deliver exceptional customer experiences. You will help drive the adoption of AI technologies, intelligent automation, and AI-assisted engineering practices to improve developer productivity, platform capabilities, and business outcomes.

You will collaborate closely with Product, DevOps, QA, Customer Success, and business stakeholders to deliver scalable, secure, and high-performing SaaS solutions while mentoring engineers and fostering a culture of innovation, technical excellence, and continuous improvement.

Key Responsibilities

Software Engineering & Platform Development

• Design, develop, and maintain scalable SaaS applications, backend services, APIs, cloud-hosted solutions, and third-party integrations.

• Build and enhance core platform capabilities, including:

• Authentication and identity management services.

• Workflow and business process automation.

• Reporting, analytics, and document generation solutions.

• Payment processing and external system integrations.

• Public and customer-facing APIs.

• Customer self-service and administrative platform capabilities.

• Design scalable, maintainable application architectures following SOLID principles and software engineering best practices.

• Develop secure, well-documented, testable, and high-performing code.

• Troubleshoot, diagnose, and resolve production issues while maintaining application reliability and customer satisfaction.

• Collaborate with DevOps teams to improve CI/CD pipelines, cloud infrastructure, observability, monitoring, and deployment processes.

• Participate in architectural planning and technical decision-making for new platform capabilities and enhancements.

AI Adoption & Intelligent Automation

• Champion the adoption of AI-assisted software development tools and practices to improve engineering efficiency, code quality, and delivery speed.

• Evaluate, prototype, and implement AI-powered capabilities within products and internal systems, including:

• Intelligent workflow automation.

• Natural language interfaces and conversational experiences.

• AI-assisted reporting and content generation.

• Knowledge retrieval and search enhancements.

• Customer self-service and support experiences.

• Identify opportunities to leverage Large Language Models (LLMs), generative AI, machine learning services, and AI APIs to solve business challenges.

• Partner with product and engineering leadership to define and execute an AI roadmap aligned with organizational objectives.

• Establish best practices for responsible AI usage, including governance, security, privacy, and compliance considerations.

• Promote AI literacy across the engineering organization through mentoring, collaboration, and knowledge sharing.

Leadership & Collaboration

• Mentor junior and mid-level engineers through code reviews, technical guidance, and career development support.
• Contribute to architectural discussions and technical strategy across multiple products and services.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Help establish engineering standards, development practices, and innovation initiatives that drive continuous improvement.
• Foster a culture of accountability, collaboration, and technical excellence.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent professional experience).
• 5+ years of professional software development experience using C# and .NET technologies.
• Strong experience designing and building RESTful APIs, web services, and distributed applications.
• Expertise with Microsoft SQL Server, including schema design, stored procedures, performance tuning, and optimization.
• Hands-on experience with Microsoft Azure cloud services, including App Services, Functions, Storage, Key Vault, and related technologies.
• Experience working with CI/CD pipelines, source control systems, automated testing, and deployment processes.
• Familiarity with modern web technologies including HTML, JavaScript, and front-end integrations.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications

• Experience integrating AI services, Large Language Models (LLMs), generative AI platforms, or machine learning APIs into enterprise or SaaS applications.
• Familiarity with GitHub Copilot, Azure AI Services, Azure OpenAI, OpenAI APIs, or similar AI development platforms.
• Experience designing AI-assisted workflows, intelligent automation solutions, or knowledge management systems.
• Experience with payment gateway integrations, third-party APIs, and SaaS platform ecosystems.
• Familiarity with multi-tenant SaaS architectures and cloud-native application design.
• Knowledge of authentication, authorization, cybersecurity, and data protection best practices.
• Experience mentoring engineers and leading technical initiatives.
• Understanding of responsible AI principles, model governance, and AI security considerations.
• Experience working within Agile/Scrum development environments.