Responsibilities
- Build technical roadmaps from business requirements and own their delivery.
- Lead engineering teams toward roadmap execution and customer satisfaction.
- Design, train, fine-tune, deploy, and optimize LLM-based solutions using prompt engineering, RAG, and agent-based architectures.
- Own and maintain efficient, reusable, scalable Python and SQL code using LangChain and LangGraph.
- Deploy GenAI applications on Azure, GCP, or AWS and optimize resource usage and CI/CD processes.
- Collaborate with product owners, data scientists, and business subject-matter experts to define requirements and deliver AI products.
- Provide technical leadership, mentoring, and knowledge-sharing in machine learning and LLM development.
- Research and experiment with emerging generative AI techniques to improve model performance.
Requirements
- At least 8 years of professional, hands-on engineering experience, including 4–6 or more years building and deploying AI/ML models and systems.
- At least 1 year of experience developing generative AI or LLM applications using prompt engineering, RAG, and/or agents.
- Expertise architecting GenAI applications and systems with frameworks and cloud services.
- Proficiency with Azure, GCP, or AWS for building GenAI applications.
- Expert proficiency in Python, LangChain, LangGraph, and SQL.
- Experience driving engineering teams toward a technical roadmap.
- Excellent communication skills for collaborating with business subject-matter experts.
- Bachelor's, master's, or Ph.D. in computer science, engineering, or a related technical field.
Benefits
- Work on frontier AI initiatives involving expert datasets, reinforcement learning environments, and research benchmarks.
- Contribute to leading-edge AI research and potentially showcase work at conferences such as ICLR, ICML, and NeurIPS.
- Apply frontier AI innovation to enterprise business problems.
- Collaborate with colleagues with experience at leading technology companies including Google, Meta, and Amazon.
- Work in a startup-paced environment with substantial ownership and impact.
- Turing is an equal opportunity employer committed to a diverse, inclusive, and authentic workplace.
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.