Go Engineer

Key Responsibilities

• Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile

• 1–2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.
• Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.
• Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.
• Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.
• Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.
• Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred.
• Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.
• PREFERRED: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.