AI Engineer

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes.
• Design tasks that reflect real-world backend engineering scenarios.
• Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs.
• Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Evaluate code for correctness, reliability, maintainability, and performance.
• Incorporate automated testing and clear validation criteria into coding tasks.
• Identify and account for edge cases, performance bottlenecks, and potential implementation errors.
• Apply secure coding principles and cybersecurity considerations where relevant.
• Refine tasks and verification logic based on project requirements and quality standards.

Backend Software Engineer – AI Training Projects

• Design, build, evaluate, and operate GenAI and agentic AI systems used in production by AstraZeneca Japan's commercial, medical, and field organizations
• Take ownership of existing AI platform assets and key systems for business users
• Ensure reliability, cost efficiency, and security of AI systems
• Work autonomously with limited supervision
• Provide technical direction and coaching to AI engineers
• Partner with business owners to ensure solutions address validated business problems
• Spend approximately 80% of time coding and 20% coordinating
• Raise the engineering practice of the Enterprise AI Technology Delivery team

AI Engineer jobs in Japan

Backend Software Engineer – AI Training Projects

Agentic AI Lead, Customer Experience & IT