AI Engineer embedding LLMs, RAG, and automation into KidKare’s configurable childcare SaaS platforms. Accelerating engineering delivery across legacy systems and development teams.
About the role
- Software Engineer evaluating AI-generated code, architecture, and reasoning for Gramian Consultancy. Creating coding problems and feedback to improve next-generation AI models.
Responsibilities
- Evaluate AI-generated code for functional correctness, code quality, maintainability, and sound software design.
- Create challenging coding problems, verified reference solutions, and comprehensive test cases.
- Review AI reasoning on software architecture, debugging, algorithms, and system design.
- Identify logical errors, inefficient implementations, edge cases, and architectural weaknesses.
- Provide detailed technical feedback and explanations to help improve AI model performance.
- Apply consistent evaluation criteria to ensure accurate and reliable assessments.
Requirements
- At least 3 years of overall professional experience in Data Science or Software Engineering.
- At least 1 year of professional experience at a leading technology, finance, or research company.
- A bachelor’s degree in Data Science, Software Engineering, Computer Science, or a related field from a university in the United States, Canada, Australia, New Zealand, or the United Kingdom.
- Strong programming and software engineering fundamentals.
- Ability to evaluate code correctness, identify bugs, and assess software design decisions.
- Strong analytical thinking and the ability to solve complex technical problems.
- Excellent written English and the ability to communicate technical feedback clearly.
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