AI Product Engineer
Tasks
- Build data pipelines
- Build evaluation frameworks
- Conduct AI opportunity assessments
- Coordinate sprint planning
- Define acceptance criteria
- Define success metrics
- Design end to end solution concepts
- Develop APIs and automation scripts
- Develop system prompts and prompt libraries
- Document solution blueprints
- Embed prompts into workflows
- Evaluate AI vendors models and APIs
- Facilitate stakeholder discovery
- Integrate LLM APIs
- Own product backlog
- Perform code reviews
- Run demos and retrospectives
- Support pilots and proofs of concept
- Surface insights for roadmap
- Test model outputs
- Track feature adoption
Perks/Benefits
- N/A
Skills/Tech-stack
AI vendor evaluation | API Integration | Acceptance criteria | Agile | Automation Scripting | Data Pipelines | Git | Governance | JavaScript | Jobs To Be Done | LLM APIs | Language Models | Large Language Models | Low Code | Model Evaluation | No Code | Product backlog | Prompt engineering | Python | REST APIs | Responsible AI | SQL | Safety evaluation | Scrum | Success metrics | Vendor Evaluation
Education
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