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Turing is a leading AI research accelerator and enterprise AI systems builder based in San Francisco. The company partners with Fortune 500 enterprises to deploy advanced AI systems and works with frontier AI labs to advance frontier research. The leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
You will join the GenAI delivery organization as a Staff AI Engineer, taking a key technical leadership role in solving complex business problems for major enterprise customers. You will be part of a cross-functional team of engineers and will contribute to implementing industry-leading multi-agent LLM systems, RAG (retrieval-augmented generation) systems, and open-source LLM deployments.
Key responsibilities include:
- Lead the design, training, fine-tuning, and deployment of large language models using prompt engineering, RAG, and agent-based architectures
- Own and maintain high-quality, efficient codebases in Python (LangChain/LangGraph) and SQL, ensuring reusability, scalability, and performance
- Deploy GenAI applications on cloud platforms (Azure, GCP, AWS) with optimized resource usage and robust CI/CD processes
- Collaborate with product owners, data scientists, and business subject matter experts to define requirements and deliver impactful AI products
- Provide technical leadership and mentoring to the engineering team, fostering best practices in ML and LLM development
- Stay current with LLM research advancements and propose emerging techniques to improve model performance
Required qualifications:
- 8+ years of professional experience building machine learning models and systems
- 1+ years of hands-on experience with LLMs and generative AI techniques (prompt engineering, RAG, agents)
- Demonstrated experience driving engineering teams toward technical roadmaps
- Expert proficiency in Python, LangChain/LangGraph, and SQL
- Understanding of cloud services (Azure, GCP, or AWS)
- Strong communication skills for cross-functional collaboration
The company emphasizes a collaborative, supportive work culture with 5-day work weeks, competitive compensation, and the opportunity to work alongside top talent from major tech companies and startups.
