Full-Stack Engineer, AI Data Platform

Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end
—from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

• Own End-to-End Product Features Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.
• Enable Human-in-the-Loop AI Training:
  Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.
• Support RLHF and Preference Data Workflows:
  Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.
• Leverage LLMs in the Review Loop:
  Build systems that use LLMs to assist human reviewers—such as automated checks, critiques, ranking suggestions, or quality signals—while maintaining human oversight.
• Advance AI Evaluation:
  Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).
• Create Intuitive, Reviewer-Focused Interfaces:
  Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.
• Architect Scalable Data & Service Layers:
  Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.
• Solve Ambiguous, Real-World Problems:
  Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.
• Ensure System Reliability:
  Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.
• Elevate the Team:
  Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 2+ years of experience in a software or machine learning engineering role.
• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.
• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, Graph
  
  QL; familiarity with NodeJS and NestJS is a plus.
• Knowledge of designing and managing scalable database systems, including relational databases (e.g., Postgre
  
  SQL, MySQL), No
  
  SQL stores (e.g., Mongo
  
  DB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS Dynamo
  
  DB).
• Familiarity with cloud infrastructure like GCP (GCS, Pub Sub) and containerization (Kubernetes) is a plus.
• Excellent communication and collaboration skills.
• High proficiency in leveraging AI tools for daily development (e.g., Cursor, Git Hub Copilot).
• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key. A focus on writing clean, well-tested code and delivering your work on time.

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.
• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures.
• Previous experience with search engines (e.g., Elastic Search).
• Experience in optimizing databases for performance and integrating them with broader data workflows.

At Labelbox Engineering, we’re building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion…