Forward Deployed AI Product Engineer
Tasks
- Bridge business unit needs with platform capabilities
- Build full stack MVP prototypes using Python SQL and TypeScript or JavaScript
- Build user interfaces for AI applications
- Define KPIs and quantify ROI for success
- Feed architectural patterns into client and internal playbooks
- Identify AI use cases for business value
- Implement RAG pipelines and LLM orchestration
- Productionize AI solutions and integrate with client platforms
- Prototype AI native agents applications and workflows
- Transform and harmonize data sources into data platforms
Perks/Benefits
Skills/Tech-stack
AI Agents | API Integration | AWS | Azure | CI/CD | DBT | Data Warehousing | Databricks | Design Thinking | Fivetran | Google Cloud | Gradio | JavaScript | KNIME | LLM orchestration | Observability | Pinecone | Python | RAG | React | SQL | Snowflake | Streamlit | TypeScript | Vector Search
Education
N/A
Roles
AI | AI Product Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Product Engineer | Software Engineer | Stack Developer
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