Senior AI Developer
Tasks
- Apply input sanitization and content filtering
- Build LLM-powered applications
- Build RAG pipelines
- Build scalable inference services
- Conduct AI evaluation with metrics
- Design multi-agent workflows
- Design retrieval systems and vector based context retrieval
- Develop AI integration with structured and unstructured data processing
- Develop end-to-end AI solutions
- Develop reusable AI components libraries and APIs
- Implement deployment monitoring and continuous improvement
- Implement predictive machine learning models
- Implement prompt strategies and context management
- Implement safety guardrails and trustworthy AI practices
- Implement secure AI architectures
- Integrate AI models with enterprise systems APIs and data platforms
- Mentor junior developers
- Optimize model performance
- Orchestrate large language model workflows
- Perform code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent systems | Azure | CI/CD | Containerization | Docker | Embeddings | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | REST APIs | Serverless | TensorFlow | Vector Databases
Education
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