Senior Forward Deployed AI Engineer
Tasks
- Build agentic LLM workflows
- Build backend services and APIs
- Build production data foundations
- Create AI-powered automation
- Deploy applications on AWS and Azure
- Design and implement RAG pipelines
- Design architecture for data and AI solutions
- Design build deploy AI powered products
- Develop ETL/ELT pipelines
- Develop frontend applications
- Implement Slowly Changing Dimensions
- Manage CI/CD and cloud deployments
- Optimize data transformations and data quality
- Orchestrate data pipelines and workflows
- Own end-to-end AI product delivery
- Translate business requirements into technical solutions
Perks/Benefits
- Fully remote
- Growth opportunities
- High autonomy
- Innovation-focused culture
- Modern technology access
- Ownership
- Real world AI implementations
- Team offsites
Skills/Tech-stack
AWS | Agentic Workflows | Airflow | Asynchronous programming | Azure | CI/CD | Celery | DBT | Dagster | Data Modeling | Databricks | Dependency Injection | Dimensional Modeling | ELT | ETL | FastAPI | Language Models | Large Language Models | Next.js | PostgreSQL | Prefect | Python | RAG | REST APIs | SQL | Slowly Changing Dimensions | Snowflake | Temporal | Testing | Vector Databases
Education
N/A
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