Senior AI Developer
Tasks
- Apply secure by design and trustworthy AI practices
- Build LLM-powered applications
- Build inference services
- Build retrieval systems and context management
- Collaborate with data scientists on experimentation
- Create multi-agent workflows
- Design end-to-end AI solutions
- Develop AI microservices
- Develop predictive machine learning models
- Enable deployment monitoring and continuous improvement
- Implement LLM orchestration logic
- Implement input sanitization and content filtering
- Implement prompt strategies
- Implement rag pipelines
- Integrate AI models with enterprise systems
- Optimize model performance for inference
- Perform code reviews and engineering support
- Stay current with emerging AI models and frameworks
- Use evaluation metrics for AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Agent systems | Automl | Azure | CI/CD | Cloud platform | Content Filtering | Docker | Embeddings | Evaluation metrics | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Input Sanitization | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Secure Software | Secure Software Development | Serverless computing | Software development | TensorFlow | Vector Databases
Education
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