Technology Stack:

• Backend: Python 10 , FastAPI, Async/Await patterns
• AI/ML: Azure OpenAI (GPT-5), prompt engineering, RAG patterns
• Frontend: Vanilla JavaScript, 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 0/OIDC

Key Responsibilities

1. Platform Development & Maintenance
   • Maintain and enhance the existing AI platform
   • Implement bug fixes and performance optimizations
   • Ensure 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, ) and prompt engineering
• Production experience with FastAPI or similar async frameworks
• SQL expertise including complex queries and database design
• Cloud platforms - Azure preferred, AWS/Google Cloud Platform 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 0, JWT tokens, session management
• Database systems: Both SQL and NoSQL paradigms
• RESTful APIs: Design, implementation, and consumption
• Infrastructure as Code: Docker, systemd services, nginx configuration

Preferred Technologies

• Snowflake or similar cloud data warehouse
• Azure AI Search or Elasticsearch
• Cosmos DB or similar NoSQL databases
• js or similar authentication libraries
• Markdown processing and rendering
• Document generation (PDF, DOCX, XLSX)

Required Soft Skills Business Acumen

• Ability to understand business processes and identify automation opportunities
• Experience translating technical capabilities into business value
• Strong presentation skills for stakeholder meetings
• Comfort working with non-technical users

Problem-Solving Approach

• Systematic debugging of complex async/streaming issues
• Creative solutions for natural language understanding challenges
• Ability to optimize for both accuracy and performance
• Experience with incremental improvement methodologies

Communication Style

• Clear technical documentation writing
• Patient explanation of AI capabilities and limitations
• Proactive communication about risks and timelines
• Collaborative approach to requirement gathering

Nice-to-Have Qualifications

• Experience with ChromaDB or vector databases
• Knowledge of HSE (Health, Safety, Environment) regulations
• Financial services or energy sector experience