AI Software Engineer

We are seeking an AI Developer to help drive the next generation of AI-powered internal tools focused on enhancing our Software Development Life Cycle (SDLC). This role will combine hands-on development of intelligent agents using Semantic Kernel, with evaluation and integration of market-ready AI tools, and the creation of data pipelines and MCP servers to support intelligent workflows. The ideal candidate is proficient in C#, experienced in Azure Cloud services, and understands how to enable AI agents through robust data infrastructure and service orchestration.

Key Responsibilities

• Design and implement AI-driven agents and internal assistants using C# and Semantic Kernel within our .NET ecosystem.
• Develop and maintain MCP servers to manage orchestrated agent workflows and modular logic execution.
• Evaluate emerging AI tools, frameworks, and copilots — and where applicable — integrate them seamlessly into developer workflows.
• Design and execute robust ETL workflows to collect, clean, enrich, and normalize structured/unstructured data, preparing it for high-accuracy LLM-based processing.
• Design AI workflows using LLMs, RAG techniques, prompt engineering, and context handling for task automation and decision support.
• Work closely with DevOps and engineering teams to integrate AI solutions into development environments and CI/CD processes.
• Ensure all AI tools are deployed, monitored, and maintained, ensuring scalability, performance, and security.
• Apply best practices in data security, prompt safety, and responsible AI usage, especially around sensitive development data.
  
  
  

Required Skills & Experience

• Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
• Hands-on experience in building AI-powered solutions including chatbots, virtual assistants and agents using specialized SDKs and Frameworks (e.g. Semantic Kernel)
• Practical knowledge in building MCP servers.
• Hands-on experience with ETL pipelines, working with structured (SQL, JSON, CSV) and unstructured (text, PDFs, Markdown) data sources.
• Strong proficiency in C#/.NET development and object-oriented design.
• Experience with Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering techniques (like one-shot, few-shot, function calling)  to enhance chatbot knowledge and response accuracy.
• Experience in AI-driven search & knowledge management using Azure Cognitive Search, Elasticsearch, Haystack.

• Expertise in cloud-based AI models deployment with Azure AI, Azure OpenAI Service.
• Experience with MLOps pipelines (using Azure DevOps, GitHub Actions).
• Proficiency in containerization and orchestration (Docker, Kubernetes).