Axiomatic_AI

AI Engineer

• Build and ship applied AI features with the team, contributing from early design through production rollout and ongoing improvements.
• Translate user feedback and research prototypes into clear technical requirements and pragmatic delivery plans.
• Build LLM-powered workflows such as tool-calling agents, structured output pipelines, retrieval/tool integrations, and safe prompting strategies.
• Write production-grade code with clear abstractions, stable interfaces, and robust error handling.
• Learn and apply strong testing practices, including unit tests, integration tests, and golden/regression test suites, with guidance from the team.
• Help add instrumentation for debugging and iteration, including logging, tracing, and metrics for AI features.
• Learn and follow best practices for safe and reliable AI features, including rate limiting, safe input handling, and prompt-injection awareness.
• Work closely with AI Engineers and researchers to productionize experiments, define deployment workflows from notebooks to production, and document best practices.

Applied AI Engineer