Senior AI Developer
Tasks
- Apply safety guardrails and input sanitization
- Build RAG pipelines and retrieval systems
- Design prompt strategies and context management
- Develop end-to-end AI solutions
- Develop scalable inference services
- Drive iterative experimentation and model improvement
- Implement LLM orchestration logic
- Implement evaluation metrics and trustworthy AI
- Implement reusable AI components and APIs
- Integrate AI models with enterprise systems and APIs
- Mentor junior developers and conduct code reviews
- Optimize model performance and monitoring
- Stay current with emerging AI techniques and models
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent Orchestration | Azure | CI/CD | Containerization | Data Ingestion | Docker | Embeddings | GCP | Hugging Face | Hugging Face Transformers | Kubernetes | LLMOps | Langchain | Llamaindex | Multi-Agent | Multi-agent orchestration | Prompt engineering | PyTorch | Python | RAG | Security | Serverless | TensorFlow | Vector Databases | Vector Stores
Education
Roles
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