Senior AI Developer
Tasks
- Build LLM-powered applications
- Build RAG pipelines
- Build inference services
- Conduct engineering mentorship
- Conduct iterative model experimentation
- Create AI microservices
- Deploy and monitor models
- Design multi-agent workflows
- Design prompt strategies
- Develop end-to-end AI solutions
- Evaluate emerging AI techniques
- Implement AI safety guardrails
- Implement predictive ML models
- Implement retrieval systems
- Integrate AI models with enterprise systems
- Optimize model performance
- Orchestrate LLM workflows
- Perform code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Agent Orchestration | Azure | CI/CD | Containers | Docker | Embeddings | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | LLMOps | Langchain | Llamaindex | Multi-Agent | Multi-agent orchestration | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Secure Coding | Serverless | TensorFlow | Vector Databases
Education
Roles
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