Teams at Dunsky Energy + Climate Advisors

Build production-ready AI applications, agents, APIs, data pipelines, integrations, and analytical models using Azure and Databricks. Develop LLM solutions with RAG, embeddings, vector search, tool calling, and agentic workflows. Establish testing, monitoring, governance, security, and responsible AI practices while partnering with consultants and subject-matter experts to translate business needs into reliable technical solutions.

Build production AI applications, agents, APIs, data pipelines, data models, and analytical solutions using LLMs, Azure, and Databricks. Develop RAG and agentic workflows, integrate structured and unstructured data, and implement testing, monitoring, security, governance, and responsible AI practices. Partner with consultants and subject-matter experts to translate business needs into practical solutions and move prototypes into reliable, scalable tools.

Build and productionize AI-powered applications, agents, APIs, data pipelines, integrations, and analytical models. The role combines LLM application development, RAG, data engineering, Azure and Databricks architecture, testing, monitoring, security, governance, and software delivery. Responsibilities also include partnering with consultants and subject-matter experts to translate business needs into practical AI solutions, prototype with users, and deploy reliable, scalable tools.