Gen AI Engineer
Tasks
- Build RAG systems
- Contribute to data platforms and architectures
- Design and build AI-driven solutions
- Develop agentic workflows
- Evaluate monitor and iterate AI solutions
- Implement LLM orchestration and tools
- Manage state and context
- Own end to end delivery to production
- Support sales proposals demos and mentoring
- Translate business needs into technical solutions
Perks/Benefits
- Flexible working hours
- Health and wellbeing benefits
- Remote working policy
- Training and development support
Skills/Tech-stack
AI Foundry | Agent Frameworks | Agent systems | Azure | Azure AI | Azure AI Foundry | Azure Data | Azure Data Engineering | Bicep | CI/CD | Data Engineering | Databricks | Delta Lake | Embeddings | Evaluation | Fine Tuning | Function Calling | Infrastructure as Code | LLMOps | LoRA | MLOps | Memory | Monitoring | Multi-Agent | Multi-Agent Systems | Multi-step reasoning | Prompt Optimization | Python | Retrieval-Augmented Generation | SQL | Session State | State management | Terraform | Unity Catalog | Vector Databases | “as-code”
Education
N/A
Roles
AI Engineer | Engineer | Gen AI Engineer | Senior Gen AI Engineer
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