Principal AI Engineer

Cerebras; United States; On-site; USD 200,000 - 245,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours

Awesome colleagues

Job summary

Turing is seeking engineers with LLM experience to solve business problems for Fortune 500 customers. You will join the GenAI delivery organization and be part of a GenAI project, collaborating with engineers across multiple skill sets to implement multi-agent LLM systems, RAG, and Open Source deployments for major enterprises.

You will lead technical roadmaps, mentor peers, and contribute to scalable Python/SQL code and cloud deployments on Azure, GCP, or AWS, driving high-impact AI products

Qualifications

• 10–12+ years of professional, hands-on engineering experience, incl. 4–6+ years in AI/ML models and systems.
• 1+ years developing Generative AI (LLM) applications with prompt engineering, RAG or agents.
• Expert in architecting GenAI applications using multiple frameworks and cloud services.
• Proficient with Azure, GCP, or AWS for GenAI deployments.
• Expert in Python, LangChain/LangGraph and SQL.
• Experience leading engineering toward a technical roadmap.
• Excellent communication to collaborate with business SMEs.

Responsibilities

• Build the technical roadmap given a business requirement and own the delivery.
• Lead the engineering team toward a technical roadmap and ensure timely execution.
• Develop and optimize LLM-based solutions: prompt engineering, RAG, and agents.
• Codebase ownership: Python, LangChain/LangGraph, SQL for scalable components.
• Cloud integration: deploy GenAI apps on Azure, GCP, or AWS with CI/CD.
• Cross-functional collaboration with product owners, data scientists, and SMEs.
• Mentoring and guidance: share knowledge on ML best practices.
• Continuous innovation: stay updated on GenAI advances and experiment.

Skills

Engineering experience

GenAI experience

GenAI architecture

Cloud services (Azure/GCP/AWS)

Python & LangChain/LangGraph & SQL

Roadmap leadership

Communication

Education

Bachelor's/Master's/PhD in CS/Engineering

Job description

About Turing

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

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 AI and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

• 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.