Senior AI Engineer
Tasks
- Build and optimize data pipelines for AI/ML
- Deploy AI solutions on cloud
- Design build deploy LLM based generative AI solutions
- Develop optimize RAG systems chatbots document understanding
- Evaluate and monitor production AI systems
- Improve AI systems processes and engineering quality
- Integrate AI capabilities into products and tools
- Own AI feature lifecycle
Perks/Benefits
- Asynchronous Working Environment
- Career development growth
- Hardware provided
- Remote-first work model
- Work abroad short periods
Skills/Tech-stack
AWS | Asynchronous programming | Azure | CI/CD | Data Wrangling | Database Management | Distributed Systems | Elasticsearch | Experiment tracking | FastAPI | Fine Tuning | Generative AI | Google Cloud | Language Models | Large Language Models | ML CI/CD | MLOps | Machine Learning | Monitoring | OpenSearch | Pinecone | Prompt engineering | Python | Qdrant | RAG Architectures | Retrieval-Augmented Generation | Semantic Search | Statistics | Vector Databases | Weaviate
Education
N/A
Roles
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