Artificial Intelligence Developer

Responsibilities

Full-Stack Development (60%)

• Serve as a technical leader in the design, development, and deployment of scalable, high-performance web applications using the Microsoft technology stack.
• Architect and build robust backend APIs and microservices using Azure-based serverless architecture, C#, and the .NET framework.
• Develop dynamic and responsive frontend user interfaces using modern frameworks such as React.
• Manage and optimize data persistence and retrieval with SQL Server, ensuring data integrity and performance.
• Design and develop RESTful APIs based on established principles, including statelessness, proper resource naming, versioning, and consistent error handling.

Generative & Agentic AI Development (40%)

• Apply 4-5 years of demonstrated AI experience to develop and deploy AI-driven applications that solve concrete business use cases, providing compelling examples from previous projects.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, integrating LLMs (e.g., from OpenAI, watsonx) with proprietary knowledge bases and vector databases (e.g., Qdrant, Milvus, Weaviate) to deliver accurate, context-aware, and current business information.
• Create and orchestrate intelligent AI agents using frameworks like CrewAI, LangChain, or LangGraph, applying multi-agent coordination patterns for collaborative problem-solving.
• Integrate AI agents and LLMs with external systems, APIs, and proprietary data sources to extend functionality and connect business processes.
• Employ techniques like advanced prompt engineering and fine-tuning to enhance the performance, accuracy, and reliability of LLM and RAG-based systems.