Responsibilities
- Design, train, fine-tune, optimize, and deploy LLM-based solutions using prompt engineering, RAG, and agent-based architectures.
- Own and maintain high-quality, scalable, and reusable Python and SQL code using LangChain and LangGraph.
- Assist with deploying generative AI applications on Azure, GCP, or AWS and optimize resource usage and CI/CD processes.
- Collaborate with product owners, data scientists, business SMEs, and engineers to define requirements and deliver AI products.
- Drive technical roadmaps and provide technical leadership, mentoring, and knowledge-sharing to the engineering team.
- Track advances in LLM research and generative AI and experiment with emerging techniques to improve model performance.
Requirements
- At least 8 years of professional experience building machine learning models and systems.
- At least 1 year of hands-on experience with LLMs and generative AI techniques, particularly prompt engineering, RAG, and agents.
- Experience driving an engineering team toward a technical roadmap.
- Expert proficiency in Python, LangChain, LangGraph, and SQL.
- Understanding of cloud services including Azure, GCP, or AWS.
- Excellent communication skills for collaboration with business SMEs.
Benefits
- Opportunity to work on frontier AI projects involving expert datasets, reinforcement learning environments, and research benchmarks.
- Opportunities to contribute to leading-edge AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS.
- Opportunity to apply frontier AI innovation to enterprise business challenges.
- Collaboration with colleagues experienced at Google, Meta, Amazon, and other leading technology companies.
- Startup-speed environment with significant ownership and impact.
Tech Stack
Categories
About Turing
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, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing—based in San Francisco, California—was named #1 on The Information’s annual list of “Top 50 Most Promising B2B Companies,” and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.