# Backend Engineer, Enterprise AI at Turing

Turing is hiring a Backend Engineer, Enterprise AI in New York, United States. Level rates it Builds AI ●●●●; you can [apply on Turing](https://jobsbylevel.com/go/fc2acc55-77fa-424c-b63f-bec862d87e57?utm_medium=ai-agent).

AI Level 4, AI centrality 83 out of 100. New York, New York, United States.

## Details

- Company: [Turing](https://jobsbylevel.com/companies/turing)
- AI level: AI Level 4 (score 83 out of 100)
- Location: New York, New York, United States
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/fc2acc55-77fa-424c-b63f-bec862d87e57?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=backend-engineer-enterprise-ai-at-turing-0518fd

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/backend-engineer-enterprise-ai-at-turing-0518fd

## Description

About Turing 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: Backend Engineer, Enterprise AI Location: New York City, Madison Square Park area Reports to: Head of Engineering, Enterprise AI Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables enterprises to deploy and operate AI systems in production. As a Backend Engineer, you will build the services and APIs behind the platform, including agent orchestration, model routing, enterprise integrations, identity and permissions, evaluation systems, and usage metering. You will help harden the platform for multi-tenant, enterprise-grade operation while building features that allow customers to configure and operate AI systems with greater independence. As a Backend Engineer, You Will Build Core Platform Services Design, build, and operate backend services and APIs that support agent orchestration, model routing, enterprise integrations, permissions, evaluation, and usage metering. Build Reliable LLM Applications Develop production systems using tool use, agent loops, retrieval, prompt versioning, and agent versioning. Enable Enterprise Integrations Build and maintain integrations with document stores, ticketing systems, data platforms, and other enterprise systems. Build Secure Multi-Tenant Systems Design data models, identity systems, permissions, and service boundaries that support secure operation across multiple tenants. Own Features End to End Take features from architecture through implementation, testing, deployment, observability, and ongoing operation. Build for Reuse and Scale Create connectors, services, and agent capabilities that can be reused across customers rather than rebuilt for each deployment. The Anti-Sell Production engineering, not prototyping: This is not a role for someone whose experience is limited to notebooks, demos, or early prototypes. You must have owned production software. Backend depth: You will work on services, APIs, asynchronous job systems, identity, permissions, and integrations. Enterprise complexity: The platform must support multi-tenant operation, enterprise identity systems, customer data permissions, and complex integrations. End-to-end ownership: You will be expected to own meaningful backend product surfaces from design through production operation. Our Backend Engineers Typically Have Production backend experience: Six or more years as a backend or full-stack engineer working on production SaaS or enterprise platforms. Strong services engineering: Deep experience with Python or TypeScript services, API design, asynchronous job systems, and production operations. Enterprise identity and permissions: Hands-on experience with OAuth, OIDC, SAML, or SCIM, as well as multi-tenant data modeling and access control. LLM application experience: Experience building production LLM features involving tool use, agent loops, retrieval, prompt versioning, or agent versioning. Enterprise integration experience: Experience integrating with document stores, ticketing systems, data platforms, or

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