Senior AI Developer
Tasks
- Apply input sanitization
- Build LLM-powered applications
- Build RAG pipelines
- Build inference services
- Conduct code reviews
- Contribute to AI frameworks and shared components
- Create AI microservices
- Design multi-agent workflows
- Design prompt strategies
- Develop end-to-end AI solutions
- Develop reusable AI libraries and APIs
- Enable model deployment monitoring and continuous improvement
- Evaluate foundation models and agent frameworks
- Implement content filtering
- Implement context management layers
- Implement evaluation metrics pipelines
- Implement predictive machine learning models
- Implement retrieval systems
- Implement secure by design AI guardrails
- Integrate AI models with enterprise APIs
- Manage data ingestion for AI pipelines
- Mentor junior developers
- Optimize model performance
- Orchestrate LLM workflows
- Support engineering excellence across AI teams
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Agent systems | Azure | CI/CD | Cloud platform | Docker | Embeddings | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | PyTorch | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | Secure Coding | Serverless computing | TensorFlow | Vector Databases
Education
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