Backed by Menlo.
About the role
Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services. Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton
- Experience implementing SOC 2 controls in CI
- Experience deploying and operating AI systems in regulated or highly controlled environments
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity
More about this role
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com .
Role: Enterprise AI - Platform Engineer
Experience Level: 6+ years
Work Model: Hybrid, with regular in-office presence
Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments.
As a Platform Engineer, you will build and operate...
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