KniTT
Senior AI Platform Developer
We are seeking an experienced Senior AI Platform Developer to take ownership of our enterprise-grade conversational AI system that powers multiple specialized bots for different business functions. This is a hands-on technical role that combines cutting-edge AI/ML development with enterprise integration and business stakeholder engagement.
Technology Stack: Backend: Python 3.10+, FastAPI, Async/Await patterns AI/ML: Azure OpenAI (GPT-5), prompt engineering, RAG patterns Frontend: Vanilla JavaScript, MSAL.js authentication, Server-Sent Events Databases: Snowflake, SQL Server, Azure Cosmos DB Search: Azure AI Search with semantic ranking Infrastructure: Ubuntu Linux, Nginx, Docker, Systemd Cloud: Azure (OpenAI, Cosmos DB, Blob Storage, AI Search) Auth: Azure AD with OAuth 2.0/OIDC Key Responsibilities 1. Platform Development & Maintenance Maintain and enhance the existing AI platform Implement bug fixes and performance optimizations Ensure 99.9% uptime for production services Manage streaming responses, conversation history, and document exports Handle natural language to SQL generation for database queries Maintain authentication flow with Azure AD and token management 2. New Bot Development Work with business stakeholders to identify AI automation opportunities Design and implement new specialized bots following established patterns Create intelligent system prompts with context injection Integrate with enterprise data sources (databases, APIs, documents) Implement RAG (Retrieval-Augmented Generation) patterns Build natural language interfaces for complex business queries 3.Business Partnership Meet with department heads to understand pain points Translate business requirements into technical solutions Demo capabilities and gather feedback Create documentation for end users Provide training and support for new features Measure and report on bot usage and value delivered 4. Technical Excellence Optimize Azure OpenAI token usage and costs Improve response accuracy and relevance Enhance error handling and user experience Document code changes and architectural decisions Participate in code reviews and knowledge sharing Stay current with AI/ML best practices. Required Technical Skills Must-Have Experience 5+ years of Python development with strong async/await experience 2+ years working with LLMs (GPT-4, Claude, etc.) and prompt engineering Production experience with FastAPI or similar async frameworks SQL expertise including complex queries and database design Cloud platforms - Azure preferred, AWS/GCP acceptable Linux/Unix administration and shell scripting Git version control and collaborative development Required Knowledge Areas Natural Language Processing: Understanding of embeddings, RAG, semantic search Streaming architectures: SSE, WebSockets, async generators Authentication: OAuth 2.0, JWT tokens, session management Database systems: Both SQL and NoSQL paradigms RESTful APIs: Design, implementation, and consumption Infrastructure as Code: Docker, nginx configuration.
Technology Stack: Backend: Python 3.10+, FastAPI, Async/Await patterns AI/ML: Azure OpenAI (GPT-5), prompt engineering, RAG patterns Frontend: Vanilla JavaScript, MSAL.js authentication, Server-Sent Events Databases: Snowflake, SQL Server, Azure Cosmos DB Search: Azure AI Search with semantic ranking Infrastructure: Ubuntu Linux, Nginx, Docker, Systemd Cloud: Azure (OpenAI, Cosmos DB, Blob Storage, AI Search) Auth: Azure AD with OAuth 2.0/OIDC Key Responsibilities 1. Platform Development & Maintenance Maintain and enhance the existing AI platform Implement bug fixes and performance optimizations Ensure 99.9% uptime for production services Manage streaming responses, conversation history, and document exports Handle natural language to SQL generation for database queries Maintain authentication flow with Azure AD and token management 2. New Bot Development Work with business stakeholders to identify AI automation opportunities Design and implement new specialized bots following established patterns Create intelligent system prompts with context injection Integrate with enterprise data sources (databases, APIs, documents) Implement RAG (Retrieval-Augmented Generation) patterns Build natural language interfaces for complex business queries 3.Business Partnership Meet with department heads to understand pain points Translate business requirements into technical solutions Demo capabilities and gather feedback Create documentation for end users Provide training and support for new features Measure and report on bot usage and value delivered 4. Technical Excellence Optimize Azure OpenAI token usage and costs Improve response accuracy and relevance Enhance error handling and user experience Document code changes and architectural decisions Participate in code reviews and knowledge sharing Stay current with AI/ML best practices. Required Technical Skills Must-Have Experience 5+ years of Python development with strong async/await experience 2+ years working with LLMs (GPT-4, Claude, etc.) and prompt engineering Production experience with FastAPI or similar async frameworks SQL expertise including complex queries and database design Cloud platforms - Azure preferred, AWS/GCP acceptable Linux/Unix administration and shell scripting Git version control and collaborative development Required Knowledge Areas Natural Language Processing: Understanding of embeddings, RAG, semantic search Streaming architectures: SSE, WebSockets, async generators Authentication: OAuth 2.0, JWT tokens, session management Database systems: Both SQL and NoSQL paradigms RESTful APIs: Design, implementation, and consumption Infrastructure as Code: Docker, nginx configuration.