Senior AI Engineer
Tasks
- Apply Responsible AI and security-by-design
- Architect and build LLM based applications
- Design and optimize RAG systems
- Develop backend services and APIs
- Implement LLMOps and GenAIOps practices
- Lead agentic workflows
- Mentor engineers and drive AI best practices
- Monitor evaluate and version AI systems
- Optimize quality cost latency and reliability
- Partner with product platform and security teams
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agentic Workflows | Amazon Web Services | Azure | CI/CD | Distributed Systems | Docker | Embeddings | Evaluation | Generative AI | Go | Google Cloud | Java | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Microservices | Monitoring | Multi-step reasoning | Prompt engineering | Python | Retrieval-Augmented Generation | Tool-Calling | TypeScript | Vector Search | Web Services
Education
N/A
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