Senior AI Site Reliability Engineer — inference SLOs

Outback Inference Co is hiring a Senior Senior AI Site Reliability Engineer — inference SLOs on the SRE / AI infra team (Remote · Sydney, Australia). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Outback Inference — SLOs, autoscaling GPU nodes, incident response for LLM APIs at scale.

Australia remote; AEST overlap required.

Outback Inference Co needs someone who can move LLM features, retrieval, agents, and evaluation from experiment to production—with tests, monitoring, and stakeholder-ready communication.

The SRE / AI infra group partners closely with product and domain experts; you will translate ambiguous requirements into measurable ML or LLM outcomes.

What you will do

• Design and ship LLM features, retrieval, agents, and evaluation with offline evals, dashboards, and rollback plans.
• Improve datasets, labeling, and metrics that correlate with user or business outcomes.
• Review model changes for safety, bias, latency, and infrastructure cost before wide release.
• Document decisions so on-call, support, and compliance teams can act without guesswork.
• Collaborate async with written specs, demos, and recorded design reviews.

What we look for

• Demonstrated production use of core skills such as Python, Kubernetes, AWS, Docker—with repos, writeups, or metrics we can verify.
• Comfort operating the listed toolchain (PostgreSQL) in real environments—not tutorials only.
• Ownership of at least one feature or model from design through post-launch review—including failure modes you handled.
• Clear communication on trade-offs (quality, cost, latency, safety) with product and non-technical stakeholders.
• Eligible to work in Australia (or remote policy as stated in the listing).

Benefits & ways of working

• Wellness, home office, learning.