About UG Labs

UG Labs is inventing how AI will work for the next generation. We are building the first AI engine designed for children, setting the global standard for ethical, imaginative, and child-centered AI.

We believe in the near future, children will be interacting with AI in learning environments, entertainment and events. We want to build a platform that ensures these experiences will be safe, engaging and creative.

Our system runs multiple specialized models per child input, tuned to their age, language, and context, achieving better accuracy and engagement than any off-the-shelf model while surpassing industry benchmarks in child speech recognition. Partnering with leading education and entertainment brands, we power live products that deliver safe, personalized, and voice-first AI experiences.

Role Overview

An AI Engineer is a technical leader who drives the design, development, and deployment of advanced AI systems, with a focus on delivering production-ready solutions that are scalable, efficient, and reliable. In this role, you will architect and implement AI-powered features, optimize LLM workflows, and build infrastructure to support real-time, low latency, high-performance applications. You’ll be hands-on with Python and modern ML frameworks, tackling challenges like multi-model streaming, parallel computation, and dynamic prompting.

Key Responsibilities

● Design, develop, architect and maintain a real-time API leveraging Python and LLMs.

● Develop LLM solution and robust safeguards to protect children’s privacy and data security.

● Contribute to product decisions by evaluating engineering tradeoffs, including safety considerations for children’s interactions.

● Translate customer needs and business goals into clear, actionable engineering initiatives.

● Deliver efficient, maintainable, and well-tested code to ensure performance and reliability in customer-facing systems.

● Enhance scalability, reliability and fault tolerance through cloud infrastructure and container orchestration (Docker, Kubernetes).

What We're Looking For

● Proven experience in a senior engineering role.

● 5+ years of experience building and scaling large, complex MLOps systems.

● Hands-on experience working with LLMs in streaming environments.

● Strong understanding of the LLM/AI model lifecycle, including training, deployment and maintenance.

● Experience deploying applications to at least one major cloud platform (AWS, GCP) with proficiency in monitoring logs and dashboards.

● Deep knowledge of microservices, message passing, and task queues, with the ability to design and implement robust backend services.

● Ability to design scalable, maintainable systems that minimize refactoring and account for the impact of new features on stability and performance.

● Minimum of 1 year of experience with asynchronous programming in Python, i.e., applied advanced Python expertise, including async programming, generators, decorators, type-checking, and debugging.

● Solid experience with SQL, including querying, data modeling, and performance optimization.

Why join UG?

At UG, every line of code, every model improvement, and every feature release is aimed at one goal: making the digital world safer, smarter, and more inspiring for children.

You’ll join a team of mission-driven technologists who are solving some of AI’s hardest challenges: speech recognition for young voices, real-time safety escalation, multi-model orchestration, while working with leading education and entertainment brands. We combine startup agility with deep technical expertise, and we back that up with competitive pay, equity, flexible work, and strong benefits

If you’re excited by the idea of pushing the boundaries of generative AI while ensuring it serves humanity’s youngest and most important users, we’d love to hear from you: [email protected]