Software Engineer, Backend
Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power products. Solve complex technical challenges across distributed systems, scaling, concurrency, and performance. Integrate and operate large generative AI models in production, including deploying, serving, and scaling systems combining internal research and external capabilities. Instrument, experiment, and iterate in production to continuously improve system and product quality. Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs.
Freelance Senior Software Developer (Kotlin) - AI Trainer
Contributors may design and maintain automated tests to ensure the quality, performance, and reliability of Kotlin and Android applications. They collaborate with developers to identify, reproduce, and resolve functional, performance, and UI issues across multiple environments. They define and improve quality standards across build pipelines, ensuring smooth CI/CD integrations and release stability. They monitor app behavior in production and use data-driven insights to guide testing priorities and improvements. They apply professional judgment to assess AI responses.
Senior Backend / Systems Engineer (AI) - San Mateo, CA
Design and build extensible backend systems that support flexible configurations for different customers and content types. Develop infrastructure that interfaces cleanly with large language models (LLMs), enabling prompt engineering, context injection, and modular evaluation workflows. Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments. Prioritize ease of deployment, integration, and testing, both for internal teams and external partners. Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.
Software Engineering Intern (Summer 2026)
As a Software Engineering Intern, you will work alongside experienced engineers on projects that power AI products. Your responsibilities include contributing to features that enable retrieval over large-scale document collections, helping design and implement intuitive interfaces for collaboration with AI systems, supporting systems that manage compute resources (including GPUs) across regions, contributing to intelligent agents that assist enterprises with complex planning and workflows, implementing and testing components of secure infrastructure for sensitive customer data and workflows, experimenting with and evaluating cutting-edge LLMs across diverse task categories with guidance from senior engineers, and collaborating with your mentor and team on code reviews, design discussions, and technical documentation.
Software Engineering Manager
Oversee the design and operation of the core platform including third-party providers, storage, billing, observability, security, and API. Provide technical leadership for various product and platform features. Improve developer experience to enable the whole team to ship faster. Guide efforts that bridge AI research to production across all modalities such as video, audio, image, and text. Understand the capabilities and limitations of state-of-the-art AI models and leverage them in products. Partner with product, design, and research teams to ensure development aligns with user needs and business objectives.
Founding Platform Engineer
Design and own the semantic layer that powers the system-of-record flywheel, enabling compounding AI products across teams. Build primitives, abstractions, and APIs for product teams to use as building blocks, ensuring ease of use for shipping AI-driven features. Partner closely with internal product and engineering teams to understand needs, eliminate friction, and design intuitive, well-documented systems that are hard to misuse. Architect systems that span data warehouses, OLTP databases, streaming systems, and vector stores, making tradeoffs based on latency, throughput, consistency, and access patterns. Work with leadership to define the long-term platform architecture, including build-vs-buy decisions, evolving the semantic layer, and scaling the system as product surface area grows.
Software Engineer, Backend
The backend developer will own major feature development and work directly with founders on product development from end to end. Responsibilities include working with a small interdisciplinary team across hardware, software, and design to build new products from scratch; building new features and designing new architecture to address challenging problems; building backend infrastructure to perform scalable training in the cloud; rethinking and refactoring existing codebases for scale; and continuously improving and maintaining code in production. The role involves full ownership throughout the entire product lifecycle, including idea generation, design, prototyping, execution, and shipping, contributing to multiple parts of the codebase in various programming languages.
Backend / Systems Engineer (AI) - San Mateo, CA
Build extensible backend systems that support flexible configurations for different customers and content types. Support infrastructure that interfaces cleanly with large language models (LLMs), enabling prompt engineering, context injection, and modular evaluation workflows. Advance tooling that enables fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments. Follow best practices for ease of deployment, integration, and testing for both internal teams and external partners. Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.
Senior Backend / Systems Engineer (AI) - San Mateo, CA
Design and build extensible backend systems that support flexible configurations for different customers and content types. Develop infrastructure that interfaces cleanly with large language models (LLMs), enabling prompt engineering, context injection, and modular evaluation workflows. Build tooling and platforms to enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments. Prioritize ease of deployment, integration, and testing for both internal teams and external partners. Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.
Machine Learning Engineer: ML Infra and Model Optimization
Develop and deploy LLM agent systems within the AI-powered avatar framework. Design and implement scalable and efficient backend systems to support AI applications. Collaborate with AI and NLP experts to integrate LLM and LLM-based systems and algorithms into the avatar ecosystem. Work with Docker, Kubernetes, and AWS for AI model deployment and scalability. Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. Document work for future reference and improvement.
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