Data & AI Engineering
Tasks
- Apply CI CD testing and deployment
- Build data pipelines
- Build knowledge systems from structured and unstructured sources
- Deploy inference and caching services
- Design prompt engineering frameworks
- Develop APIs and microservices
- Develop analytics-ready data models
- Engineer RAG pipelines
- Ensure KPI and business rule alignment
- Implement LLM powered capabilities
- Implement prompt versioning monitoring and evaluation
- Implement vector search strategies
- Integrate LLMs via cloud platforms
- Integrate governed semantic layers
- Orchestrate multi-step AI workflows
- Set up logging and performance tracking
- Support secure privacy safe AI usage
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Anthropic | Apache Airflow | Autogen | DBT | Data Modeling | Docker | Elasticsearch | Embeddings | Faiss | FastAPI | Few-Shot Learning | Few-shot | Flask | JSON | Langchain | OpenAI | Pinecone | Prompt engineering | Python | RAG | SQL | Semantic layer | Snowflake | Streaming | Vector Search
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Data Engineer | Engineer
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