Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Turing is looking for one of the most strategically exciting GenAI Engineering roles to join us in solving business problems for our Fortune 500 customers. In this role, you’ll partner directly with customers to design, build, and deploy intelligent applications using Python, Langchain/LangGraph, and large language models. You’ll bridge engineering excellence with customer empathy to solve high-impact real-world problems.
This is a hands-on engineering role embedded within customer projects; ideal for engineers who enjoy ownership, love solving hard problems, and thrive in dynamic, technical environments.
Roles & Responsibilities- Design, develop, and optimize LLM-based solutions, including model design, fine-tuning, deployment, and application of techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and agent-based architectures.
- Own and maintain high-quality, scalable, and efficient codebases in Python (using frameworks such as LangChain/LangGraph) and SQL, ensuring reusability, performance, and best engineering practices.
- Drive cloud integration and deployment of GenAI applications on platforms such as Azure, AWS, or GCP, ensuring efficient resource utilization and robust CI/CD pipelines.
- Collaborate closely with product managers, data scientists, and business SMEs to gather requirements, translate business needs into technical solutions, and deliver impactful AI-driven products.
- Provide technical leadership, mentorship, and guidance to the engineering team, promoting best practices in machine learning and generative AI development.
- Stay updated with the latest advancements in LLMs and generative AI, proactively experimenting with emerging techniques and incorporating innovations to improve model performance and system capabilities.
- 8+ years of experience in software engineering, or solutions engineering, ideally in a customer-facing capacity, including at least 2+ years focused on building and deploying AI/ML models and systems.
- 1+ year of experience developing Generative AI (LLM) applications using techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and/or agent-based frameworks.
- Strong expertise in architecting and designing GenAI applications and systems using modern frameworks and cloud-native services.
- Proficiency in working with cloud platforms such as AWS, Azure, or GCP to build, deploy, and scale GenAI solutions.
- Strong programming skills in Python, along with hands-on experience in LangChain/LangGraph and SQL.
- Proven ability to lead and drive engineering teams toward execution of a defined technical roadmap.
- Excellent communication and stakeholder management skills, with the ability to collaborate effectively with business SMEs and cross-functional teams.
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
- $180-220K Base + equity
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.
Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. 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.
Skills Required
- 10-12+ years of professional, hands-on engineering experience
- 4-6+ years specializing in building and deploying AI/ML models and systems
- 1+ years of experience in developing Generative AI (LLM) applications
- Expert in architecting GenAI applications/systems
- Good proficiency in using cloud services Azure, GCP, or AWS
- Expert proficiency in Python, Langchain, and SQL
- Experience in driving the engineering team toward a technical roadmap
- Excellent communication skills for collaboration
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
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Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
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Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
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Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
