Job description

You will design and build agentic systems that transform how Core OS triages software bugs and features at scale — building production-grade infrastructure that runs AI/ML workloads reliably and improves over time through rigorous evaluation and feedback loops. The goal is to make autonomous triage a dependable, first-class part of how Core OS ships and debugs software. You'll work across the build and integration lifecycle, agent orchestration, and the infrastructure that connects them, partnering with project managers and engineering teams across Software, Hardware, and Silicon groups to turn complex triage requirements into resilient systems. Programming experience in Python. 5+ years of experience building scalable data platforms and distributed systems. Experience with LLM and agent development. Knowledge of RAG architectures, embedding generation, vector databases, and AI data preparation for agentic workflow. Strong collaboration and communication skills working across multi-domain software engineering teams. Familiarity with eval frameworks for agent quality (offline benchmarks, drift detection, confidence scoring). Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree in Computer Science, Data Engineering, or a related field. 1+ year developing production-grade agentic systems. Experience with large-scale telemetry or observability systems feeding automated decision-making. Experience shipping tools adopted by engineering teams beyond your own. Background in kernel or OS-level debugging, crash analysis, or root-cause investigation.

Requirements

Must-haves

Programming experience in Python.
5+ years of experience building scalable data platforms and distributed systems.
Experience with LLM and agent development.
Knowledge of RAG architectures, embedding generation, vector databases, and AI data preparation for agentic workflow.
Strong collaboration and communication skills working across multi-domain software engineering teams.
Familiarity with eval frameworks for agent quality (offline benchmarks, drift detection, confidence scoring).
Bachelor's degree in Computer Science, Data Engineering, or a related field.
Master's degree in Computer Science, Data Engineering, or a related field.
1+ year developing production-grade agentic systems.
Experience with large-scale telemetry or observability systems feeding automated decision-making.
Experience shipping tools adopted by engineering teams beyond your own.
Background in kernel or OS-level debugging, crash analysis, or root-cause investigation.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonllm

Platform: apple
Effort: medium