Senior AI Engineer
Tasks
- Deploy AI solutions to cloud infrastructure
- Design build deploy LLM and generative AI solutions
- Design contribute data pipelines for AI workflows
- Develop LLM powered applications RAG agents chatbots document understanding
- Educate stakeholders on AI capabilities and best practices
- Implement monitoring and continuous improvement for production systems
- Integrate AI capabilities into products services tools
- Own end-to-end AI feature lifecycle
Perks/Benefits
- Asynchronous Working Environment
- Career development
- Hardware provided
- Hybrid arrangements
- Opportunity to work abroad
- Remote-first work model
Skills/Tech-stack
AWS | Async/Await | Asynchronous programming | Azure | CI/CD | Data Pipelines | Data Preprocessing | Data Science | Databases | Distributed Systems | Elasticsearch | Experiment tracking | FastAPI | Fine Tuning | Generative AI | Google Cloud | LLMs | ML monitoring | MLOps | Machine Learning | OpenSearch | Pinecone | Prompt engineering | Python | Qdrant | RAG | Retrieval-Augmented Generation | Semantic Search | Statistics | Vector Databases | Weaviate
Education
N/A
Roles
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