Project description
We are looking for a Senior Software Engineer / Architect with strong experience in AI-driven applications to lead the evolution of a GenAI-powered voice assistant used by shopfloor workers in a manufacturing environment.
This role combines hands-on development, solution architecture, and technical leadership, with a focus on building scalable, real-time, AI-powered systems on Microsoft Azure.
The role is part of a GenAI-powered voice assistant solution for shopfloor workers in a manufacturing environment. Existing production solution needs to be further developed, optimized, and rolled out to additional locations.
• Mobile-first voice agent using LiveKit framework and GPT Realtime API (Azure OpenAI Realtime)
• Real-time and document based answering
o RAG: Azure AI Search + SharePoint (ingestion via Graph API)
o Real-time data: Snowflake via MCP (Cortex Analyst)
• Azure Container Apps, Python backend, TypeScript/React frontend
Responsibilities
- What You'll Work On
- A mobile-first voice assistant using real-time AI capabilities
- Integration of LLM-based responses (Azure OpenAI GPT Realtime API)
- RAG pipelines combining:
- Azure AI Search
- SharePoint (via Microsoft Graph API)
- Real-time data integration via Snowflake (Cortex Analyst / MCP)
- Cloud-native deployment using Azure Container Apps
- What You'll Do
- Solution Ownership
- Own and evolve a production-grade GenAI solution
- Improve performance, scalability, and reliability
- Support rollout to additional locations
- Hands-On Development
- Build and maintain backend services in Python
- Develop AI features (RAG, agents, real-time processing)
- Implement and extend integrations with enterprise systems
- Architecture & Leadership
- Define and guide system architecture
- Make key technical decisions across AI and cloud components
- Ensure scalable, secure Azure-based deployments
- Team Collaboration
- Mentor and support engineers
- Conduct code reviews and enforce best practices
- Collaborate closely with product managers and stakeholders
- Quality & Delivery
- Ensure high-quality, production-ready code
- Improve observability (logging, monitoring, debugging)
- Drive continuous improvement in delivery processes
Skills
Must have
- AI chatbot/agentic architectures (LLMs, Agents, RAG, MCP)
- Python, REST APIs, containerized microservices architectures
- Azure services (AI Search, OpenAI/Foundry, Container Apps, CosmosDB, Log Analytics/Application Insights...)
- Clear and structured communication
- Pragmatic, solution-oriented mindset, constructive collaboration
Nice to have
- LiveKit/real-time/voice systems
- Graph API/Sharepoint ingestion pipelines
- Snowflake
- Frontend exposure (Typescript/modern web frameworks)
- DevOps
Other
Languages: English: B2 Upper Intermediate
Seniority: Lead
