AI Full-Stack Engineer Jobs

View detail

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, and design and implement solutions to address the highest priority issues.

View detail

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

View detail

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

View detail

Own the full product development lifecycle for new platform capabilities and product experiences end-to-end. Collaborate closely with internal customers to understand their problems and implement effective solutions. Work with the research team to share relevant feedback and iterate on applying their latest models.

View detail

Lead development of advanced prompt engineering and retrieval pipelines by architecting and building scalable solutions that handle thousands of customer conversations daily across integrations such as Zendesk, Intercom, and Salesforce. Leverage generation pipelines to deliver rapid insights, accurate analysis, and meaningful customer interaction scoring. Architect real-time multimodal simulations to own the development of realistic, interactive training experiences across voice, video, and chat using platforms like OpenAI, ElevenLabs, and Vapi, ensuring simulations dynamically adapt to user input for immersive learning environments. Drive high-performance user experiences by setting technical standards for intuitive, lightning-fast interfaces built with Next.js, ensuring UIs handle complex AI interactions seamlessly under demanding workloads, and mentor others to achieve similar standards.

View detail

Lead development of advanced prompt engineering and retrieval pipelines by architecting and building scalable solutions that handle thousands of customer conversations daily across integrations like Zendesk, Intercom, and Salesforce, leveraging cutting-edge generation pipelines for rapid insights, accurate analysis, and meaningful customer interaction scoring. Architect real-time multimodal simulations by owning the development of realistic, interactive training experiences across voice, video, and chat using platforms like OpenAI, ElevenLabs, and Vapi, with simulations dynamically adapting to user input to create immersive learning environments. Drive high-performance user experiences by setting technical standards for intuitive, fast interfaces built with Next.js, ensuring UIs handle complex AI interactions seamlessly under demanding workloads, and mentoring other engineers to achieve the same technical standards. Shape technical decisions, own major parts of the product, mentor teammates, and push personal skills in full-stack development including frontend, backend, and AI integrations, making critical decisions about architecture, tooling, and product direction.

View detail

In this role, you will own the end-to-end development lifecycle for new platform capabilities and integrations with other systems, collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions, and work with product and research teams to share relevant feedback and iterate on applying their latest models.

View detail

Work in small, autonomous teams oriented around customer problems. Contribute to the development of a simulation platform to test AI agents against real-world scenarios. Create intuitive, no-code content management tools to guide and test AI agents. Adapt traditional software development methodologies to accommodate AI agents' non-deterministic behavior, natural language interactions, and reliance on large language models. Accelerate generative agent creation using tools like Cursor and Claude Code and build self-improving systems based on real-world interactions, customer-driven feedback, and self-play.

View detail

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 entire 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 how to best leverage them in products. Partner with product, design, and research teams to ensure development is tightly aligned with user needs and business objectives.

View detail

Design and write high-quality prompts for LLM-based agents (GPT-class models preferred). Build agentic tools and workflows using Netomi's no-code platform. Integrate external and internal APIs, including authentication, data mapping, and error handling. Implement unit tests, debug issues, and ensure reliability of agent workflows. Apply engineering best practices and design patterns such as retries, timeouts, idempotency, and lazy loading. Optimize agents for performance, cost, and fault tolerance. Collaborate with Product, QA, and Delivery teams to ship production-grade agentic solutions.