Member of Technical Staff, AI

About the Role As a Member of Technical Staff focused on AI, you will design applied AI systems and build the products around them across frontend, backend, and data. End-to-end product ownership is central to the role. You will define the problem, decide what to build, ship it, evaluate the result, and maintain it after launch. Most of your technical work will involve LLM-powered applications, agent systems, and the evaluation and reliability systems required to run them in production. The role is full lifecycle Find product-market fit. Start with a small version, test it with users, and decide whether to continue, change direction, or stop. Improve what works. Once a product proves useful, test changes and invest in the versions that perform best. Expand and scale. Grow adoption across WITHIN and with clients, and make the system reliable under increased use. Maintain it. Monitor performance, resolve problems, and continue improving the product. You will set direction with business partners. They provide domain context and user needs; you decide how to scope, sequence, and develop the product. How we work AI-native. We use coding assistants and agent workflows throughout development. Engineers are responsible for testing and reviewing the resulting work. Bias to ship. Engineers work directly with business teams, make product and technical decisions, and release wor [... source excerpt omitted ...] w based on the problem. You work independently, communicate tradeoffs, and keep the people involved informed. Technical foundation: Strong Python skills and experience building production systems. Experience building production applications with LLM APIs such as OpenAI, Anthropic, or Vertex AI. Experience building agent workflows that use tools, call external systems, maintain state, and handle multi-step tasks. Experience designing evaluations for LLM-powered systems, including test cases, quality measures, regression testing, and review of production failures. Understanding of context management, token limits, multi-turn conversations, tool calling, structured outputs, pro [... source excerpt omitted ...] l Media, Affiliate and Influencer, we’re able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It’s a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI