Senior AI Developer
Tasks
- Build LLM-powered applications
- Build inference services
- Conduct code reviews
- Create AI evaluation metrics
- Create reusable AI components
- Design RAG pipelines
- Design retrieval systems
- Develop end-to-end AI solutions
- Develop vector based context retrieval
- Enable AI deployment monitoring and continuous improvement
- Evaluate emerging AI techniques
- Implement multi-agent workflows
- Implement prompt strategies
- Implement safety guardrails and content filtering
- Implement secure AI practices
- Integrate AI models with enterprise systems
- Mentor junior developers
- Optimize model performance
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | Azure | CI/CD | Containerization | Data Ingestion | Docker | Document processing | Embeddings | Fairness | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | LLM orchestration | Langchain | Llamaindex | Multi-Agent | Multi-Agent Systems | Privacy | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Safety | Serverless | Structured data | TensorFlow | Unstructured Data | Vector Databases
Education
Roles
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