Senior Data Engineer
USD 140K-180K Senior-level Full Time
Tasks
- Build agent orchestration layers
- Build and deploy AI agents and multi-agent systems
- Communicate complex technical concepts to non-technical stakeholders
- Create architecture diagrams and technical documentation
- Define architecture decisions and delivery approaches
- Design and deliver working data and AI prototypes
- Design evaluation harnesses and monitoring pipelines
- Design scalable data pipelines ETL and APIs
- Design scalable modular systems
- Develop and maintain agent skills
- Drive solution design for data and AI problems
- Embed with product and engineering teams to co define problems
- Implement and extend Model Context Protocol servers and clients
- Integrate LLMs RAG and ML models into production workflows
- Iterate on solutions using stakeholder feedback
- Own data modeling transformation and quality
- Participate in architecture reviews and critical design reviews
- Support and mentor junior engineers
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Airflow | Autogen | Azure | CI/CD | CrewAI | DBT | Data Modeling | Data Pipelines | Data Quality | Data orchestration | Docker | ELT | ETL | GCP | GitHub Actions | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Context Protocol | Model Evaluation | NoSQL | PGVector | Pinecone | Prefect | Prompt engineering | Python | RAG | SQL | Semantic Kernel | Vector Databases | Weaviate
Education
N/A
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