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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, AI Platform - **Company:** Color, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Clinical Data Repository, Cloud Computing, Data Integration, Data Security, Python (Programming Language), Knowledge-Based Systems, Software Deployment, Software Engineering, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Backend, Agentic-AI, AI Platforms, Front End Software Development - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_fed1f1eafa8c784013bf050eb84beaab ## About the Role * 5+ years of experience building and shipping production software, with strong full-stack skills across React/TypeScript, Python, APIs, data integrations, and cloud infrastructure. * Hands-on experience building production AI products with modern LLMs, including patterns such as RAG, structured outputs, tool calling, agentic workflows, prompt engineering, and model evaluation. * Experience turning complex, heterogeneous data into useful product experiences and taking systems from prototype through production, including testing, monitoring, and iteration. * Strong product judgment and the ability to balance speed, technical quality, reliability, and user impact in ambiguous, rapidly evolving environments. * A bias toward tinkering, rapid experimentation, and learning. You start small, prototype quickly, measure what works, and recognize when new AI capabilities create opportunities for a larger leap. * An informed point of view on how AI is changing software engineering and product development. You regularly experiment with new models, frameworks, coding tools, agent architectures, and interaction patterns-and communicate what you learn. You are someone others at Color look to for what's new in AI, what works in practice, and how we should apply it. Nice to Have: * Experience building AI platforms or shared infrastructure that empowered multiple teams to ship AI applications. * Experience developing healthcare technology involving sensitive clinical data. We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description. ## Description We're hiring a full-stack Senior Software Engineer to build AI products and the platform that powers them across Color. This new role will report to the Senior Director of AI Platform and work across the stack - from intuitive clinician and patient-facing AI experiences to the backend services and infrastructure that power them. This is a full-stack role and we're looking for candidates with senior level experience across frontend, backend and systems engineering. We seek a hands-on builder with strong product instincts and deep curiosity about AI. You should be someone who experiments constantly, follows advancements in models and tooling, and translates emerging capabilities into reliable products. You will also raise Color's AI fluency by sharing insights and demonstrating effective building patterns. How You'll Contribute: * Build full-stack AI applications for Color's care teams and patients, owning features from user experience through backend services, AI orchestration, data access, and production deployment. * Explore where emerging AI capabilities can meaningfully improve cancer care and how Color works, moving rapidly from ideas to prototypes to shipped experiences. * Experiment rapidly with emerging AI capabilities, turning promising models, tools, and techniques into prototypes and incrementally evolving the best ideas into production systems. * Develop reliable LLM-powered systems, including retrieval and knowledge systems, citations and grounding, prompt management, structured outputs, tool use, agentic workflows, and evaluation. * Develop the evaluation, observability, and safety practices needed to understand AI quality, compare approaches, identify regressions, and confidently evolve successful experiments into durable products. * Design privacy-and security-conscious systems appropriate for sensitive healthcare data and clinical workflows. * Partner closely with product, design, clinical, and engineering teams to understand problems, prototype solutions, learn from users, and ship improvements quickly. * Raise Color's AI fluency by sharing experiments, emerging techniques, lessons learned, and strong patterns for building with AI across the company. * Mentor others and raise the technical and product quality bar.