Principal Engineer - AI (Onsite)

ESSENTIAL FUNCTIONS

• Utilize AI and emerging technologies to productively accomplish development objectives and integrate LLM and agentic solutions into systems.
• Provide technical leadership and guidance to engineering teams, serving as a subject matter expert in the relevant field. 
• Lead and manage engineering projects from conception to completion, ensuring they are delivered on time and within budget. 
• Participate in the design and architecture of complex systems, products, or solutions, leveraging industry best practices and innovative approaches. 
• Mentor and coach junior engineers and quality engineers, sharing knowledge and best practices to help them grow in their roles. 
• Stay up-to-date with the latest industry trends, technologies, and tools, and apply them to improve existing processes or develop new solutions.
• Ensure the scalability, reliability, and performance of AI systems. 
• Develop and execute performance tests on AI systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.
• Perform research and testing to develop machine learning algorithms and predictive modeling.
• Utilize big data computation and storage tools to create prototypes and datasets.
• Conduct model training and evaluation.
• Integrate, test, tune, and monitor solutions.
• Collaborate with cross-functional teams, including product management, quality assurance, and support, to align engineering efforts with organizational goals. 
• Create and maintain technical documentation, including design specifications, architectural diagrams, and process workflows. 
• Ensure that engineering projects comply with industry standards, regulations, and safety requirements. 
• Identify and mitigate technical risks associated with projects, proposing contingency plans when necessary. 
• Identify opportunities for process improvement, cost reduction, and efficiency enhancements within the engineering department. 
• Lead and contribute to the planning, tasking, and execution at all levels of the agile development process. 
• Prepare features for delivery following the defined development process and deploy them to production. 
• Demonstrate new development in stand-ups to the organization's product ownership. 
• Deliver value to Frontsteps engineering while fostering positive relationships within the team. 
• Work with legacy code and contribute to modernization efforts. 
• Fulfill other duties as assigned by management. 

SKILLS & QUALIFICATIONS

• Bachelor's or Master's degree in software engineering, computer science or a related field. Or a minimum of 12 to 15 years equivalent development work experience in lieu of a degree. 
• Minimum of 1 year experience in developing AI using LLM-based solutions.
• Minimum of 10 years' experience in developing ASP.NET based applications using C#, Entity Framework, MVC, object-oriented programming, and ASP.NET Web API's. 
• Minimum of 4 years' experience with modern .Net and recent experience with in .Net 8/9. 
• Minimum of 10 years' experience with SQL and relational databases (preferably SQL Server). 
• Minimum of 5 years' experience architecting cloud-scale software solutions. 
• Minimum of 5 years' experience creating applications using Docker containers. 
• Minimum of 5 years' experience with Azure, working with multiple types of deployments, Functions, LogicApps, and ServiceBus. 
• Proficient in big data tools, cloud platforms, multiple AI tools such such as Python, Java, or R, and machine learning frameworks like Spark, TensorFlow, or scikit-learn.
• Previous experience integrating with third-party providers via APIs. 
• Experience deploying applications with Azure Pipelines or other CI/CD tools is a plus. 
• Current Microsoft certification is preferred. 
• Experience in designing distributed software deployments using Azure. 
• Several years of hands-on engineering experience, with a proven track record of success and progressive responsibility. 
• Strong problem-solving skills and the ability to think critically and analytically. 
• Excellent communication skills, both written and verbal. 
• Leadership and mentoring abilities to guide and inspire engineering teams. 
• Proficiency in relevant tools, software, and technologies. 
• Project management skills and the ability to handle multiple projects simultaneously. 
• Familiarity with industry standards and regulations applicable to the specific field. 
• Continuous learning mindset and a commitment to staying updated with industry trends. 
• Previous experience working in larger teams consisting of more than 5 people.