Senior AI Developer
Tasks
- Build LLM-powered applications
- Build RAG pipelines
- Build inference services
- Conduct secure trustworthy AI practices
- Contribute to AI frameworks and shared accelerators
- Create reusable AI libraries and APIs
- Design multi-agent workflows
- Design retrieval systems and LLM orchestration logic
- Develop AI microservices
- Develop end-to-end AI solutions
- Enable model deployment monitoring and continuous improvement
- Evaluate and prototype emerging AI techniques
- Implement predictive ML models
- Implement prompt strategies and context management
- Implement safety guardrails and input sanitization
- Integrate AI models with enterprise systems
- Mentor junior developers
- Optimize model performance
- Perform code reviews
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Agent Orchestration | Azure | CI/CD | Cloud platform | Content Filtering | Docker | Embeddings | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Input Sanitization | Kubernetes | Langchain | Llamaindex | Multi-Agent | Multi-agent orchestration | Prompt engineering | PyTorch | Python | RAG | TensorFlow | Vector Databases
Education
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