Senior AI Developer
Tasks
- Build LLM-powered applications
- Build inference services
- Build prompt strategies and context management
- Collaborate with Product teams and Data Scientists
- Conduct code reviews
- Conduct iterative experimentation and prototyping
- Create AI microservices
- Design multi-agent workflows
- Develop RAG pipelines
- Develop end-to-end AI solutions
- Enable model deployment monitoring and continuous improvement
- Evaluate emerging AI techniques and frameworks
- Implement evaluation metrics for AI systems
- Implement predictive machine learning models
- Implement retrieval systems
- Implement reusable AI components libraries and APIs
- Implement safety guardrails and content filtering
- Integrate AI models with enterprise systems
- Mentor junior developers
- Optimize model performance
- Orchestrate large language model workflows
- Translate user needs into AI powered features
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent systems | Azure | CI/CD | Containerization | Content Filtering | Data Ingestion | Data Processing | Docker | Embeddings | Evaluation metrics | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Model | Large Language Model | Llamaindex | Model Monitoring | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Security | Serverless computing | Structured Data Processing | Structured data | TensorFlow | Unstructured Data | Unstructured Data Processing | Vector Databases
Education
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