--- title: 'Backend Engineer, Enterprise AI at Turing' canonical: 'https://feeny.ai/job/backend-engineer-enterprise-ai-turing-new-york-7qgsgzzwy795' type: 'job' last_seen: '2026-10-28' --- # Backend Engineer, Enterprise AI at Turing - **Company:** Turing - **Location:** New York, NY - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-10-28 - **Apply:** https://job-boards.greenhouse.io/turing/jobs/6235314004 ## Job 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](http://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 other enterprise systems. Production LLM ownership: A track record of shipping LLM features used by paying customers and owning production systems after launch. Candidates whose experience is limited to notebooks or prototypes, or who have no multi-tenant or production ownership experience, will not be a fit for this role. Top-Tier Candidates Will Have - Experience working on agent framework internals. - Experience implementing SOC 2 or similar controls. - Experience building integrations for financial services or other regulated industries. - Experience building on OpenAI or Anthropic APIs in a production environment. Values - 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. Advantages of joining Turing - Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. - Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. - Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges. - Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. - Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review [Turing's GDPR notice here](https://www.turing.com/policy). ## About Turing ## Company Overview - **One-liner**: Turing is an AI company that partners with leading AI labs and enterprises to advance frontier model capabilities and deploy end-to-end AI systems for mission-critical workflows. - **Entity Type**: Private (raised $111M at a $2.2B valuation) - **Headquarters**: San Francisco, California, United States (also offices in Palo Alto, CA) - **Founded**: 2018 - **Founders**: Jonathan and Vijay (computer science alumni) ## Core Business - Primary industry: Artificial Intelligence, Technology, Information and Internet - Target customers: B2B, including Fortune 500 companies, frontier AI labs, and enterprises - Mission: “Accelerate superintelligence to drive real economic progress” - Operates across multiple areas: reasoning, coding, multimodality, multilinguality, STEM, agentic behavior, and frontier knowledge ## Products & Services - **Frontier AI Lab Partnerships**: Collaborate with leading AI labs to build data, evaluations, and benchmarks that push the AI frontier forward (e.g., RL environments, data generation for pre-training/post-training). - **Enterprise AI Systems**: Build and deploy end-to-end AI systems for mission-critical enterprise workflows. - **Turing Talent Cloud**: AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts used to train models and build AI applications. - **ALAN Platform**: AI-powered platform for matching, managing talent, and generating high-quality human and synthetic data for model evals, fine-tuning, RLHF, and benchmarking. ## Market Standing - **Valuation/Market Cap**: $2.2 billion (most recent funding round amount not explicitly dated, but cited on careers page) - **Key Metric**: Total funding of $111M (from the $2.2B valuation round) - **Notable Investors/Partners**: Adam D’Angelo (Facebook’s first CTO), Foundation Capital (backers of Netflix, Uber), executives from Microsoft, and others. Partners include Fortune 500 companies. - **Growth Signals**: 48.1% YoY employee growth (reaching 3,896 employees), #1 on The Information’s “Top 50 Most Promising B2B Companies”, named one of Fast Company’s top 10 companies in the Workplace category, active job postings of 2,700 (+66.9% YoY). ## Competitive Advantages - AI-vetted talent pool of over 4 million professionals, enabling rapid scaling of AI projects. - Proprietary ALAN platform that orchestrates talent matching, data generation, and model evaluation. - Deep partnerships with frontier AI labs, including work on large-scale RL environments and data generation. - History of being built by engineering leaders from Facebook, Microsoft, and other top tech companies. - Strong brand recognition and trust among enterprise clients (zero-risk trial for hiring). ## Strategic Focus - Advancing artificial general intelligence (AGI) by improving model capabilities in reasoning, coding, agentic behavior, and multimodality. - Expanding enterprise AI deployment across industries (e.g., financial services, robotics, STEM). - Scaling the talent cloud and ALAN platform to support pre-training, post-training, and AI application development. - Growing the workforce with a focus on research, engineering, and data science roles. ## Why Work Here - **Culture**: Emphasizes “client first”, “startup speed”, “AI forward”, and “work with joy”. Described as a fast-paced, innovative environment. - **Remote/Hybrid**: Many roles are remote-first globally, with offices in San Francisco and Palo Alto for in-person collaboration. - **Perks**: Work on frontier AI technology with top labs; flexible, well-paid remote work; opportunities to contribute to superintelligence; strong career growth (48% YoY headcount increase). - **Engineering Culture**: Heavy focus on R&D, research engineering, and data science; roles include Principal Research Engineer, Robotics Engineer, and Head of Applied AI Lab. - **Workforce Diversity**: Operates in 100+ countries, with employees from India, US, Pakistan, Nigeria, Brazil, etc. ## Sources 1. [careers.turing.com](https://careers.turing.com/) 2. [job-boards.greenhouse.io/turing](http://job-boards.greenhouse.io/turing) 3. [linkedin.com/company/turingcom](https://www.linkedin.com/company/turingcom) 4. [welcome.turing.com/about/](https://welcome.turing.com/about/) 5. [turing.com/jobs](https://www.turing.com/jobs) ## Other roles at Turing - [Design Manager](https://feeny.ai/job/design-manager-turing-brazil-colombia-huila-colombia-sq4rp96y9vgy) — Brazil / Colombia Huila, Colombia - [Senior Full-Stack Engineer - Enterprise AI](https://feeny.ai/job/senior-full-stack-engineer-enterprise-ai-turing-mumbai-m5f0pz20rnfg) — Mumbai, India - [Deployment Architect](https://feeny.ai/job/deployment-architect-turing-new-york-p7rq4wzevm9z) — New York, NY - [Platform Engineer - Enterprise AI](https://feeny.ai/job/platform-engineer-enterprise-ai-turing-new-york-pp8ne1nsdbjn) — New York, NY - [Enterprise AI - Account Director - Consumer Packaged Goods](https://feeny.ai/job/enterprise-ai-account-director-consumer-packaged-goods-turing-dallas-jz3vepm88mpw) — Dallas, TX / Plano, TX - [Vice President, Business Development, Financial Services (BFSI)](https://feeny.ai/job/vice-president-business-development-financial-services-bfsi-turing-new-york-ffhbwf0fmfah) — New York, NY - [Senior Software Engineer, AI Evaluation Infrastructure](https://feeny.ai/job/senior-software-engineer-ai-evaluation-infrastructure-turing-united-states-j258xrs9gccj) — United States - [Compliance Analyst](https://feeny.ai/job/compliance-analyst-turing-brazil-18qpxhsay329) — Brazil - [Head of Engineering, Enterprise AI](https://feeny.ai/job/head-of-engineering-enterprise-ai-turing-new-york-kmtp00q88k70) — New York, NY - [Product Manager](https://feeny.ai/job/product-manager-turing-india-6w9tm1m6f9zh) — India