Job description

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.

Requirements