Software Engineer, AI/ML

Interfere is building an AI-powered platform to detect and diagnose product failures in real time. This role owns the intelligence layer: building agents, LLM pipelines, evals, and context engineering systems that find bugs before users hit them. You'll work at the intersection of research and production, shipping systems that run at scale against real codebases.

• Build agents that reason over codebases, traces, and logs to detect and explain bugs.
• Develop LLM pipelines for triage, root-cause analysis, and automated fix proposals.
• Design detection systems for anomalies in product behavior and user experience.
• Create evals, datasets, observability, and feedback loops to measure and improve system performance.
• Implement context engineering for retrieval, indexing, and context construction.

• Experience shipping ML/LLM systems to production.
• Strong ability to move between research and engineering.
• Proficiency with agent architectures, tool use, and multi-step reasoning.
• Treat evals as first-class engineering problems.
• Can own ambiguous AI problems end-to-end.

• Background in code understanding or program analysis.