AI Engineer Consultant

Job role: AI Engineer Consultant

Location: Remote or Detroit, MI

Duration: 12 months

POSITION OVERVIEW
We are looking for an AI Engineer Consultant with LM application development skills to be an important part of our effort to incorporate the latest innovative AI agentic services into our solutions. We use some of the latest LLMs offered in Azure AI Foundry along with some core foundational technologies such as .NET, SQL Server and Angular. Successful candidates will possess a passion for technology, seeking out and learning the best options for solving problems. The AI Engineer Consultant will often take a lead role in the design and development of AI related features and capabilities with an eye to deliver best in class software.
ESSENTIAL DUTIES AND RESPONSIBILITIES

• Maintain our goal: Our highest priority is to satisfy the customer through early and continuous delivery of valuable software.
• Use Agile methodologies to deliver solutions that will support our customers, mainly using the Scrum framework to support solution development, implementation, and support.
• Work in a team environment to build our solutions, and with regular retrospection, improve our team culture and processes through continuous inspection.
• Lead in team AI related technical discussions where design ideas are presented and reviewed resulting in a team decision on the best approach.
• Lead in AI systems design, design reviews, software development, code reviews, quality engineering, and continuous integration and continuous delivery.
• Assist with the creation of necessary technical documentation in support of programming and design activities such as design diagrams, release notes, code comments, use cases, and training materials.
• Provide support to internal and external clients currently utilizing software applications, including assisting with the delivery of solutions.
• Assist with training, including developing training materials and delivering training to staff.
• Perform knowledge transference of best AI engineering practices within the client's software engineering discipline.
• Ability to research, prototype, and promote new technical approaches, designs, and tools among other new innovative concepts.
• Collaborate with Architecture discipline to ensure compliance with corporate Architecture standards and to assist in extending the standards for AI enabled applications.

KNOWLEDGE, SKILLS, ABILITIES, AND COMPETENCIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, abilities, and competencies required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Preferred familiarity with, or desire and ability to learn:
• Web technologies such as HTML, CSS, JavaScript
• Utilization of technologies such as C#, .Net, and MS SQL Server
• Model Context Protocol implementation and usage
• Fine tuning using model distillation for domain specific model adaptation
• Tools such as Visual Studio (VS), Team Foundation Server (TFS), GIT, etc.
• Automation testing for quality engineering disciplines such as unit testing, smoke testing, and integration tests
• Continuous integration and continuous delivery tools (Azure DevOps).
• Understanding of potential performance, security, scalability and maintainability issues.
• Successful candidates will have substantial knowledge of:
• Azure AI Foundry, Azure AI Services and Agent frameworks/tools such as Semantic Kernel or LangChain
• Retrieval Augmented Generation (RAG) with embedding models and vector databases
• Prompt Engineering techniques for response output customization
• Service Oriented Architecture (SOA)
• .Net Framework & .NET Core
• Web API design and implementation
• Software patterns (Dependency injection, MVC, etc.)
• Code management best practices and one or more tools (TFS, Git, etc.)
• Requires ability to:
• Function on an Agile (Scrum) team utilizing ADO for task management and source control.
• Independently analyze requirements to determine how applications function to build effective designs and tests.
• Use industry standard design patterns.
• Lead implementation of testing methodologies geared towards AI applications
• Learn and follow client s Software Development Life Cycle (SDLC).
• Grow as a subject matter expert within the solution as it relates to the business requirements, implementation and delivery of software, data within platform, and the software artifacts themselves.
• Monitor and check work deliverables ensuring high quality, accuracy and having a strong attention to detail.
• Prioritize competing demands, manage multiple concurrent tasks and adapt to changing priorities.
• Independently engineer a feature or epic from ideation with product owner to delivery of those specified items, while understanding the impact in relation to the rest of the software platform and associated business.
• Oral Communication: Requires the ability to compose and verbally deliver information of varying levels, using appropriate grammar, tone, inflection and non-verbal cues, while also listening to and correctly deciphering verbal communication delivered by others.
• Written Communication: Requires the ability and capacity to communicate ideas, facts and data in writing using appropriate grammar, syntax and sentence structure including the ability to create technical documents.

Thank you!