Remote, Senior AI Developer (Only W2)

Role SummaryWe are seeking an experienced Senior AI Developer to design and develop AI-powered solutions using Azure AI services and Large Language Models (LLMs). The ideal candidate will have strong expertise in Python, Generative AI, Azure AI Foundry, REST APIs, NLP, and system architecture. This role requires independent decision-making, solution design, and the ability to communicate technical concepts to both technical and non-technical stakeholders.Required SkillsStrong experience with PythonHands-on expertise with Microsoft AzureExperience working with Generative AI/LLM API frameworksSolid understanding of system architecture and design principlesPreferred SkillsExperience with Genesys or similar call center platformsKnowledge of REST API design and API integration best practicesKey ResponsibilitiesDesign and build real-time integrations with Large Language Models (LLMs) hosted on Azure AI Foundry, ensuring high performance and low latency.Develop lightweight NLP-based solutions to identify keywords, intent, and other conversational signals in real time.Create and integrate RESTful APIs that connect Azure AI services with web-based applications.Transform unstructured conversational data into structured JSON outputs using Azure AI Foundry's structured output capabilities.Implement best practices for LLM deployment, including prompt engineering, context management, latency optimization, and token usage monitoring.Apply NLP techniques such as bag-of-words, word embeddings, and semantic analysis to process conversations, call transcripts, and similar text-based data.Collaborate with stakeholders to design scalable AI solutions that meet business and technical requirements.Produce clear technical documentation and communicate complex AI concepts effectively to both technical and non-technical audiences.Make independent architectural decisions while ensuring solutions are secure, scalable, and maintainable.Nice-to-Have SkillsExperience with traditional Machine Learning models and data analytics.Knowledge of multi-cloud environments, cloud networking, and security best practices.Experience working in highly regulated industries such as healthcare, child welfare, government, or national security, with a strong understanding of data privacy and PII compliance.Ability to work independently, take ownership of solution architecture, and drive technical decisions with minimal supervision.“Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”