Forward Deployed AI Product Engineer
Tasks
- Add AI safety guardrails
- Build APIs and backend services
- Build full stack MVP applications
- Capture technical patterns and best practices
- Communicate trade-offs and risks
- Create agentic workflows
- Define KPIs and ROI metrics
- Design user interfaces for AI features
- Develop LLM orchestration
- Evaluate AI models
- Identify AI use cases
- Implement rag pipelines
- Integrate with data and AI platforms
- Integrate with existing systems
- Productionize AI native solutions
- Prototype AI agents and workflows
- Support discovery sessions
- Transform and harmonize data sources
Perks/Benefits
Skills/Tech-stack
AI Agents | AI guardrails | APIs | AWS | Azure | CI/CD | Data Pipelines | Data Transformation | Databricks | Google Cloud | Gradio | JavaScript | LLM orchestration | Model Evaluation | Observability | Orchestration | Python | RAG | React | SQL | Snowflake | Streamlit | TypeScript | Vector Search
Education
N/A
Roles
AI | AI Product Engineer | Engineer | Full Stack | Full Stack Engineer | Product Engineer | Stack Engineer
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