Job Description

Salary: [Not Specified] Location Type: Onsite (Work From Office - WFO) Employment Type: [Not Specified]

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About Turing

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.
• 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.

Important Note: This position requires employees to work onsite (WFO) from Alpharetta/Atlanta, GA. Candidates must be located in or willing to relocate, as remote work is not available for this role.

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About the Role

Turing is looking for individuals 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.

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Roles & Responsibilities

• 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: Aid in the 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.

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Required Skills

• 8+ years of professional experience in building Machine Learning models & systems.
• 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques, particularly prompt engineering, RAG, and agents.
• Experience in driving the engineering team toward a technical roadmap.
• Expert proficiency in programming skills in Python, Langchain/Langgraph, and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS.
• Excellent communication skills to effectively collaborate with business SMEs.

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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.