Opportunity Description
What You’ll Be Doing
- Review existing codebases to determine where AI-assisted tools can be effectively applied, taking into account architecture, language mix, and code complexity
- Explore and benchmark AI solutions that support different stages of the engineering lifecycle, such as automated documentation, test creation, and code quality analysis
- Run practical experiments using AI tools on selected components to assess:
- Output quality and accuracy
- Test coverage and completeness
- Time savings compared to traditional methods
- Work closely with engineering teams to:
- Identify suitable candidates for pilot initiatives
- Validate AI-generated outputs
- Feed insights into broader engineering practices
- Contribute to the rollout of AI-enabled engineering practices, including:
- Defining success criteria
- Establishing guardrails and review p...
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