Lead Forward Deployed Fullstack Engineer

About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at We are seeking an experienced Full-Stack Engineer who brings deep Java and React expertise, a polyglot mindset, and the ability to extend existing systems with AI and agentic capabilities. The ideal candidate is a strong, fungible engineer — someone equally at home in a complex legacy Java application and a React client portal, who can also add meaningful AI/LLM functionality on top of real-world business workflows. This is not a role for pure AI/ML specialists or narrow LLM researchers. We need a utility player: an excellent full-stack engineer who has built or integrated agentic components and is motivated to do more of it over time. Beyond individual contribution, this person will play a pivotal role in mentoring junior developers, driving architectural decisions, and elevating engineering standards across the team. Must-Have Technologies: Java 17+, ReactJS, Microservices, AWS/Azure, RDBMS, NoSQL Core Technical Skills Full-Stack Engineering (Primary) 10+ years of hands-on software development, with deep expertise in modern Java full-stack development. Strong command of Java frameworks including Spring, Spring Boot, and Hibernate. Proven experience building single-page web applications using ReactJS, Bootstrap, and Node.js. Solid understanding of front-end architecture principles and data-driven UI development. Hands-on experience designing, developing, and deploying cloud-based architectures on AWS or Azure — not inherited pipelines, genuine architecture ownership. Expertise developing applications backed by both relational (SQL Server/PostgreSQL) and NoSQL (MongoDB/Elasticsearch) databases. Strong SQL development skills including query optimization and performance tuning. Working knowledge of modern security frameworks and standards: OAuth 2.0, OpenID Connect, and JWT. Proficient in designing and building RESTful APIs following industry best practices. Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development. Demonstrated ability to write clean, efficient, maintainable code across a diverse stack. Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues. Polyglot Engineering Comfortable working across multiple languages and tech stacks — not single-stack only. Solid hands-on experience developing production applications, automation tooling, or backend services in Python. AI / Agentic Integration (Secondary, But Important) We are not looking for candidates who only exist in Python or whose entire background is LLM/model training. We are looking for full-stack engineers who have demonstrably built systems with AI components — or who have the depth and drive to take that on. Practical experience integrating LLMs into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock). Ability to add AI capabilities on top of existing enterprise systems — examples include invoice OCR with LLM-based data extraction, validation against contracts, and payment logic. Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Understanding of responsible AI practices: