Senior AI Engineer
Tasks
- Advise stakeholders on AI capabilities and best practices
- Build and optimize data pipelines for AI/ML
- Deploy AI solutions on cloud infrastructure
- Design build and deploy LLM based generative AI solutions
- Develop and optimize RAG systems and AI agents
- Evaluate LLM models and retrieval pipelines
- Integrate AI capabilities into products and internal tools
- Monitor and continuously improve production AI systems
- Own end-to-end AI feature lifecycle
Perks/Benefits
- Asynchronous Working Environment
- Autonomy and flexibility
- Career development and growth
- Hardware provided
- Hybrid Arrangements Based on Role
- International Diverse Collaborative Environment
- Opportunity to work abroad
- Remote-first work model
Skills/Tech-stack
AWS | Asynchronous programming | Azure | CI/CD | Data Pipelines | Data Wrangling | Databases | Distributed Systems | Elasticsearch | Experiment tracking | FastAPI | Fine Tuning | Generative AI | Google Cloud | JavaScript | Language Models | Large Language Models | ML CI/CD | MLOps | Machine Learning | Model Monitoring | OpenSearch | Pinecone | Prompt engineering | Python | Qdrant | RAG evaluation | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Weaviate
Education
N/A
Roles
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