Senior AI Developer
Tasks
- Build vector database embeddings retrieval pipelines and RAG architectures
- Contribute to technical architecture proof of concepts and AI innovation
- Design build and maintain AI powered services and applications
- Design scalable and secure AI workflows for enterprise SaaS
- Develop APIs backend services and orchestration layers
- Develop intelligent agents copilots and conversational AI capabilities
- Implement AI governance security and responsible AI practices
- Integrate large language models and AI APIs
- Mentor engineers and establish AI engineering standards
- Optimize AI model interactions for performance accuracy cost and reliability
- Troubleshoot AI and distributed system issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI APIs | AI orchestration | API Development | AWS | Agents | Anthropic Claude | Azure | Backend Development | CI/CD | Cloud Native | Conversational AI | Distributed Systems | Docker | Embeddings | Fine Tuning | Git | Google Cloud | Google Gemini | Java | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Multi-tenant | Multi-tenant architecture | Observability | OpenAI | Prompt engineering | Python | RAG | Reliability | Retrieval-Augmented Generation | Scalability | Security | Semantic Search | Software Architecture | Tenant architecture | Tool-Calling | TypeScript | Vector Databases
Education
Roles
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