Senior AI Developer
Tasks
- Apply responsible AI evaluation metrics
- Build LLM-powered applications
- Build Retrieval-Augmented Generation architectures
- Build inference services
- Collaborate with data scientists on experimentation
- Conduct code reviews
- Create AI microservices
- Create LLM orchestration logic
- Design multi-agent workflows
- Design secure AI systems
- Develop RAG pipelines
- Develop embedding based vector retrieval
- Develop end-to-end AI solutions
- Develop reusable AI components libraries and APIs
- Implement content filtering
- Implement context management layers
- Implement deployment monitoring
- Implement input sanitization
- Implement predictive machine learning models
- Implement prompt strategies
- Implement safety guardrails
- Integrate AI models with enterprise systems
- Mentor junior developers
- Optimize model performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent systems | Azure | CI/CD | Content Filtering | Docker | Embeddings | Fairness | Generative AI | Google Cloud | Hugging Face | Hugging Face Transformers | Inference Optimization | Input Sanitization | Kubernetes | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | Model Monitoring | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Privacy | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Risk Management | Safety Guardrails | Serverless | TensorFlow | Transformers | Vector Databases
Education
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