Staff Gen AI Engineer - USA

Turing; Palo Alto (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

An innovative company in the AI sector is seeking experienced professionals to join their GenAI delivery organization. This role focuses on developing and optimizing large language model solutions, with responsibilities including codebase ownership, cloud integration, and cross-functional collaboration. You will be part of a dynamic team that values continuous innovation and mentorship, working on impactful AI products for Fortune 500 clients. If you have a passion for AI and a strong background in machine learning, this is an exciting opportunity to make a significant impact in a supportive and collaborative environment.

Benefits

Amazing work culture

Collaborative environment

Competitive compensation

Full-time remote opportunity

Qualifications

• 8+ years of experience in building ML models & systems.
• 1+ years of hands-on experience with LLMs & Generative AI.
• Expert proficiency in Python and SQL.

Responsibilities

• Lead design, training, fine-tuning, and deployment of LLMs.
• Maintain high-quality, efficient code in Python and SQL.
• Collaborate with product owners and data scientists.

Skills

Machine Learning

Large Language Models

Python

LangChain/LangGraph

SQL

Cloud Services (Azure, GCP, AWS)

Prompt Engineering

Retrieval-Augmented Generation

Technical Leadership

Communication Skills

Tools

Azure

GCP

AWS

Job description

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.

About the role:

Turing is looking for experienced professionals in Large Language Models (LLMs) 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, working with a team of engineers across different skill sets. The organization has implemented industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.

• 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: Assist in deploying 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 updated on the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to improve model performance.

Required skills:

• 8+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands-on experience with LLMs & Generative AI techniques, especially prompt engineering, RAG, and agents
• Experience guiding engineering teams toward a technical roadmap
• Expert proficiency in Python, LangChain/LangGraph, and SQL
• Understanding of Cloud services (Azure, GCP, or AWS)
• Excellent communication skills for collaboration with business SMEs

Advantages of joining Turing:

• Amazing work culture (collaborative & supportive environment; 5 days a week)
• Top talent from Meta, Google, LinkedIn, and deep startup experience
• Competitive compensation
• Full-time remote opportunity

Don’t meet every requirement? Studies show women and people of color are less likely to apply unless they meet all qualifications. Turing is proud to be an equal opportunity employer and values diversity and inclusion. If you're excited about this role but your experience doesn’t align perfectly, we encourage you to apply—you might be the right fit for this or other roles.