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.
Research Engineer
Research Engineers at ASAPP design, develop, and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products. They collaborate with product and engineering teams to ensure project success during the research phase and afterward. They build and maintain research datasets, infrastructure, and toolkits. Additionally, they collaborate with other functions at ASAPP to identify research opportunities.
[UMOS ONE] Data Analytics Engineer
Design and develop the Agentic AI system including the core architecture and modules of UMOS platform's autonomous decision-making system. Develop agent systems integrating AI-based routing, dispatching, and predictive models into actual service operation logic. Implement software logic that reacts in real-time to dynamic changes in mobility and logistics operations to make optimal decisions. Enhance agent decision-making ability using knowledge graph-based information. Design and operate distributed systems to ensure the stability and scalability of the agent system. Build simulation and test environments to verify the complex logic and decision-making processes of the Agentic AI system. Develop tools to monitor and analyze the performance, behavior, and safety of the operating agent system.
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