USA_Artificial Intelligence Engineer
Tasks
- Architect and develop end to end AI systems
- Build reliable AI APIs and services
- Collaborate with product data and engineering teams
- Deploy and monitor generative AI applications
- Design build and maintain AI agents
- Develop data ingestion and transformation pipelines
- Ensure data quality and lineage
- Evaluate and apply LLM and RAG technologies
- Implement observability and performance tracking
- Improve reliability accuracy latency and cost efficiency
- Integrate AI features into product APIs and services
- Mentor peers and shape AI roadmap
- Monitor and optimize model and agent performance
Perks/Benefits
Skills/Tech-stack
AI Agents | APIs | AWS | Amazon SageMaker | CI/CD | Data Pipelines | Distributed Systems | Embeddings | Faiss | Generative AI | LLM | Langchain | MLOps | MLflow | Model Monitoring | Observability | Pinecone | PyTorch | Python | RAG | React | Retrieval-Augmented Generation | Ruby on Rails | TensorFlow | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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