Job Description
Key Responsibilities
- Work across multiple projects to improve LLM performance on code tasks.
- Lead end-to-end delivery of AI agent use cases (e.g., coding copilots, creative assistants).
- Evaluate and review model-generated code for accuracy, maintainability, and performance.
- Analyse and provide structured, written rationales for code quality and rankings.
- Collaborate with Turing teams to identify edge cases and improve model behaviour.
Application Process:
To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer:
We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply.
Ideal Profile:
Must-Have Requirements
- 10+ years of overall professional experience in software engineering.
- Must have worked full-time at a Top 50 Tech Company:
- Minimum 1 year if US-based
- Minimum 2 years if based elsewhere
- (Top 50 Tech Companies list provided in screening)
- Experience as a Software Engineer (not Data Scientist) in these companies.
- Proven expertise in full-stack development, including:
- Building production-ready applications
- Software architecture, design, and debugging
- Code quality and peer review practices
Nice to Haves
- Degree from a Top Global University
- Exposure to modern cloud-native and scalable architectures
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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