Senior AI Developer
Tasks
- Build LLM-powered applications
- Build context management layers
- Build inference services
- Conduct code reviews
- Create AI microservices
- Design multi-agent workflows
- Develop end-to-end AI solutions
- Develop predictive ML models
- Develop reusable AI components and APIs
- Drive iterative experimentation and prototyping
- Enable AI deployment monitoring
- Implement LLM orchestration logic
- Implement prompt strategies
- Implement rag pipelines
- Implement safety guardrails and input sanitization
- Integrate AI models with enterprise systems
- Integrate evaluation metrics
- Mentor junior developers
- Optimize model performance
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Containerization | Docker | Embeddings | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | LLM orchestration | Langchain | Llamaindex | Microservices | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Serverless computing | TensorFlow | Vector Databases
Education
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