Senior AI Engineer
Summary
Design and build multi-agent AI systems, deploy cloud-native LLM apps, and optimize RAG pipelines using Azure AI Foundry for enterprise use.
- Architect and build multi agent systems
- Build and evaluate models in Azure AI Foundry
- Conduct workshops and hands on training
- Deploy and maintain cloud native AI services
- Develop production grade enterprise LLM applications
- Implement retrieval-augmented generation pipelines
- Integrate agent workflows with enterprise databases
- Manage vector databases and embeddings
- Monitor and debug live AI agents
- Optimize performance and context usage
Perks/Benefits:
- Hybrid work model
- Mentoring and training opportunities