Forward Deployed AI Product Engineer
Tasks
- Build front-end user interfaces
- Collaborate with business and technical stakeholders
- Define KPI and ROI success metrics
- Deliver client facing demos and training
- Design APIs and back end services
- Develop AI Agent workflows
- Document patterns and best practices
- Identify AI use cases
- Implement AI RAG pipelines
- Integrate with data and AI platforms
- Productionize AI solutions
- Prototype AI native MVP agents
- Transform and harmonize data sources
Perks/Benefits
- Learning and development opportunities
- On-site customer engagement
- Remote-first
- Travel up to 50 percent
Skills/Tech-stack
AI guardrails | APIs | AWS | Agentic Workflows | Azure | CI/CD | Cloud Orchestration | Databricks | GCP | Gradio | Graph Database | JavaScript | LLM orchestration | Language Models | Large Language Models | Model Evaluation | Postgres | Prompt engineering | Python | RAG | REST | React | SQL | Snowflake | Streamlit | TypeScript | Vector Database
Education
Roles
AI | AI Product Engineer | Engineer | Full Stack | Full Stack Engineer | Product Engineer
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