Senior AI Engineer
Tasks
- Build intelligent agentic workflows
- Collaborate on end-to-end AI solutions
- Design AI powered applications
- Develop AI agents
- Develop scalable APIs and services
- Enhance observability and operational excellence
- Implement rag pipelines
- Improve scalability and reliability
- Integrate LLMs into production systems
- Integrate vector databases
- Participate in AI architecture decisions
- Set up AI orchestration frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agentic Workflows | Azure | CI/CD | Cloud Computing | Cloud platform | Distributed Systems | Docker | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MCP | Python | RAG | Retrieval-Augmented Generation | System design | Vector Databases
Education
Roles
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