AI and Data Engineer
Tasks
- Architect data infrastructure for persona modeling
- Build behavioral simulation layers
- Build data lakes
- Contribute to system design and technical roadmap
- Design and build scalable data pipelines
- Develop and iterate LLM based agents
- Develop embedding models
- Identify and resolve production issues
- Implement Feature Stores
- Implement real time serving layers
- Implement vector databases
- Ingest and transform structured and unstructured data
- Monitor model and pipeline performance
- Participate in code reviews
- Translate persona logic into system components
- Write production-quality code
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Apache Airflow | Apache Spark | Azure | Cloud Computing | CrewAI | DBT | Data Lakes | Data Modeling | Document Databases | Embedding Models | Event Driven | Event-driven architecture | Feature Stores | Fine Tuning | Google Cloud | Google Pubsub | Kafka | LLM Agents | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Machine Learning | Microservices | NLP | Observable code | Prefect | Prompt engineering | Python | RAG | Relational databases | Retrieval-Augmented Generation | Schema Design | Testing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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