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- Project Focus: Integration of AI chatbot features into MarketView application; enable team self-sufficiency in AI/LLM technologies.
- Lead and architect AI/LLM (Large Language Model) solutions for chatbot integration.
- Guide AI systems design, development, code reviews, and quality engineering.
- Drive technical discussions and make team-based design decisions.
- Collaborate using Agile Scrum methodologies for solution development and support.
- Create and maintain technical documentation (design diagrams, release notes, code comments, use cases, training materials).
- Mentor and train internal staff on AI engineering best practices.
- Support internal/external clients and deliver software solutions.
- Research, prototype, and promote innovative AI concepts and tools.
- Collaborate with Architecture team to meet and extend corporate standards for AI-enabled applications.
- Engage in knowledge transfer to build in-house AI/LLM expertise.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related IT field.
- Minimum 5 years’ relevant work experience.
- Extensive experience with Azure AI Foundry, Azure AI Services, and agent tools (e.g. Semantic Kernel, LangChain).
- Proficiency with .NET Framework/Core, C#, SQL Server, Web API, and web technologies (HTML, CSS, JavaScript).
- Expertise in Retrieval Augmented Generation (RAG), embedding models, and vector databases.
- Skilled in prompt engineering and domain-specific model adaptation (e.g., fine-tuning/distillation).
- Familiarity with Visual Studio, TFS, Git, and Azure DevOps.
- Solid understanding of software patterns (DI, MVC), SOA, and code management best practices.
- Experience with automation testing (unit, smoke, integration tests) and CI/CD pipelines.
- Strong analytical, problem-solving, documentation, and communication skills.
- Ability to function in Agile/Scrum teams and lead feature delivery from ideation to deployment.
- Passion for learning and applying new AI technologies.
- Team leadership and mentoring capabilities.
- High attention to detail and commitment to software quality.
- Effective communication, both written and verbal.
- Customer service mindset and ability to collaborate with diverse teams.
- Adaptability, initiative, and results-oriented work ethic.
The AI Consultant will lead the integration of AI chatbot features into Urban Science’s MarketView application, architecting LLM solutions, mentoring the team, and ensuring knowledge transfer for future self-sufficiency. This is a leadership role requiring deep technical expertise in AI, LLMs, and modern software engineering within an Agile environment.
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