AI/ML Ops Engineer - Data & Reporting, Onsite
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+7 more
Requirements
We have an immediate need for an experienced Senior AI/ML Ops Engineer with strong expertise in LLM evaluation, MLOps, AI agent reliability, Python, CI/CD, observability, and production AI systems to design, build, and operate a comprehensive evaluation and monitoring platform for LLM-powered agents.
This is an onsite position based in Austin, TX, with a preference for local candidates and candidates with prior Apple experience, for a candidate with deep experience in Python, TypeScript, LLMs, LLM Evaluation, AI Agents, MLOps, ML Engineering, CI/CD, GitHub Actions, GitLab, Jenkins, Buildkite, OpenTelemetry, Datadog, Grafana, Prometheus, LangSmith, Langfuse, Arize Phoenix, Braintrust, W&B Weave, RAG Pipelines, Multi-Agent Systems, Agent Orchestration, LLM-as-a-Judge, Golden Datasets, Regression Testing, Automated Scoring, Prompt Management, Model Routing, A/B Testing, Experimentation, Causal Inference, Knowledge Graphs, Monitoring, Alerting, Incident Response, RCA, and Production Observability.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
How to Become an AI Engineer
MLOps And AI Driven Development
MLOps – What’s the deal behind it?
Dev Digest 137 - AI'm not sure about this