Database and AI Support Engineer
Tasks
- Administer Kubernetes environments
- Apply retrieval augmented generation RAG workflows
- Collaborate with product engineering QA and customer success teams
- Configure authentication and integrations
- Deliver technical training and enablement
- Deploy database and AI solutions
- Design and maintain data models
- Develop technical documentation and guides
- Implement embeddings and vector search
- Improve database performance
- Maintain and optimize database and AI solutions
- Manage replication and backups
- Optimize queries and indexing
- Support AI solutions using LLMs
- Troubleshoot cloud infrastructure and networking
- Troubleshoot technical issues using logs
Perks/Benefits
Skills/Tech-stack
AKS | AWS | ArangoDB | Authentication | Azure | Bash | DNS | Docker | EBS | EKS | Embeddings | GCP | Helm | Ingress Controller | JSON | Kubernetes | LLMs | Linux | Load Balancer | Minio | Neo4j | Networking | Networking Troubleshooting | OpenShift | Prompt engineering | Python | RAG | REST APIs | S3 | SQL | SSH | Storage Systems | Vector Search
Education
N/A
Roles
AI | AI Support Engineer | Database Support Engineer | Engineer | Support Engineer
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