---
title: 'Principal AI Engineer at Turing'
canonical: 'https://feeny.ai/job/principal-ai-engineer-turing-new-york-new-york-mpkr7scvspxp'
type: 'job'
last_seen: '2026-09-09'
---

# Principal AI Engineer at Turing

- **Company:** Turing
- **Location:** New York New York, United States
- **Posted:** 2026-07-20
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/turing/jobs/6119886004

## 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/).

About the role:

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises

Roles & Responsibilities

- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Required skills

- 10–12+ years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
- 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services.
- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications.
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs.

Education

- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

## Compensation

- $200-245K Base + equity

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

- [Strategy & Operations Manager](https://feeny.ai/job/strategy-operations-manager-turing-bengaluru-3sjr1tg8nr6r) — Bengaluru, India
- [Senior Technical Recruiter - Research Engineering Pod](https://feeny.ai/job/senior-technical-recruiter-research-engineering-pod-turing-united-states-kw26pb4fdb62) — United States
- [Senior DevOps & Infrastructure Engineer](https://feeny.ai/job/senior-devops-infrastructure-engineer-turing-colombia-huila-jwhzmnmnvt79) — Colombia Huila, Colombia / São Paulo, Brazil
- [Strategic Project Lead - Code](https://feeny.ai/job/strategic-project-lead-code-turing-india-sfk0wnms76fw) — India
- [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-turing-palo-alto-california-4g8zeesfvfdc) — Palo Alto California, United States / San Francisco California, United States
- [Product Manager, Finance](https://feeny.ai/job/product-manager-finance-turing-new-york-new-york-crn55k6792ry) — New York New York, United States
- [People Systems & Operations Manager](https://feeny.ai/job/people-systems-operations-manager-turing-brazil-colombia-huila-colombia-fehabm9q83pv) — Brazil / Colombia Huila, Colombia
- [Strategic Project Lead, Software Engineering](https://feeny.ai/job/strategic-project-lead-software-engineering-turing-new-york-new-york-12cbjjyd8yr2) — New York New York, United States / San Francisco California, United States / Seattle Washington, United States
- [AI Engagement Lead](https://feeny.ai/job/ai-engagement-lead-turing-new-york-new-york-fe82mpebdcw7) — New York New York, United States
- [Executive Assistant to the Founder & CEO](https://feeny.ai/job/executive-assistant-to-the-founder-ceo-turing-palo-alto-california-tpz3vh0az1qd) — Palo Alto California, United States / San Francisco California, United States