Data & AI Engineer
Tasks
- Build real time AI context systems
- Deploy orchestration frameworks
- Design data pipelines in Google Cloud
- Develop autonomous AI “Agents”
- Develop vector databases
- Ensure low latency AI access
- Implement CI CD for data and model lineage
- Implement retrieval augmented generation systems
- Integrate Vertex AI and BigQuery
- Maintain data governance and documentation
- Manage code and data version control with Git
- Model structured and unstructured data
- Optimize LLM retrieval performance
Perks/Benefits
- Annual leave
- Birthday day off
- Carer’s leave
- Cycle to work scheme
- Electric car scheme
- Enhanced parental leave
- Flexible bank holidays
- Health cash plan
- Hybrid work
- Paid volunteer leave
- Regular social events
- Store discount
- Wellbeing leave
Skills/Tech-stack
AI Search | APIs | Agent Builder | Agentic AI | BigQuery | CI/CD | Cloud Functions | Cloud Run | Cloud platform | Gemini | Git | Google Cloud | Google Cloud Platform | Langchain | NoSQL | PGVector | Pinecone | Python | RAG | Retrieval-Augmented Generation | SQL | Vector Database | Vertex AI | Vertex AI Agent Builder | Vertex AI Search
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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