Senior Gen AI Engineer
Tasks
- Build production LLM applications
- Build reusable AI components and APIs
- Collaborate with product and data science teams
- Deploy and optimize AI models
- Design scalable generative AI solutions
- Develop RAG pipelines
- Establish AI evaluation testing monitoring
- Evaluate emerging models and frameworks
- Implement prompt engineering strategies
- Integrate foundation models with LLM APIs
- Troubleshoot model and application issues
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Evaluation | Agent systems | CI/CD | Docker | Document processing | Embeddings | Foundation Models | Function Calling | Generative AI | Guardrails | Kubernetes | LLM APIs | Langchain | Language Models | Large Language Models | Model Monitoring | Model Orchestration | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | RAG | Retrieval-Augmented Generation | Semantic Search | Tool-Calling | Vector Databases
Education
N/A
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