LLM Application Engineer, Agent Systems

About Corepass Corepass is building the foundation for the next generation of applied AI. We are developing our own LLM optimized for code, along with a general-purpose AI agent platform. On top of this foundation, we build vertical AI agents that solve high-value workflows end to end, starting with sales lead generation and underwriting. We operate at the intersection of frontier model research and production-grade applied AI. Our customers are not looking for demos. They need agents that drive revenue, support underwriting decisions, and perform reliably in real business environments. We are early, well-resourced, and moving fast. The role We are looking for a Large Language Model Application Engineer focused on agent systems. This role will build practical AI applications powered by LLMs, including agent workflows, RAG systems, knowledge-base products, backend services, and production integrations for real business use cases. Responsibilities Build real-world applications based on large language models, including agent systems and AI products.Design and implement multi-step task execution workflows, including workflow orchestration and agent systems.Build RAG systems and knowledge-base applications.Contribute to prompt design and optimization to improve model performance in real-world scenarios.Develop backend services for AI applications, including APIs, service orchestration, and system integration.Optimize model usage cost, response latency, and system stability.Drive the deployment, iteration, and business adoption of AI systems. Requirements Master’s degree or above in computer science, software engineering, or a related field.Proficient in Python with strong engineering skills.Experience with LLM application frameworks, such as LangChain or LlamaIndex, is preferred.Understanding of RAG, vector databases, and related technologies.Experience building AI agents, automation systems, or AI products is preferred.Backend development experience with Python, Go, Node.js, or similar technologies.Strong system design skills and the ability to break down complex problems. Why Corepass Foundational work: Join an early team building both model infrastructure and applied AI products.Real product focus: We train our own models and build agents designed for production use, not demos.High-impact problems: Our agents are built for business-critical workflows such as lead generation and underwriting.Fast execution: We are a tight team with low bureaucracy and a strong bias toward shipping.In-person culture: We work from our SF Bay Area office five days a week. How to apply Send your resume or LinkedIn profile to support@corepass.com. Please include a short note on why you are interested in this role. Corepass is an equal opportunity employer. We hire on merit and welcome candidates of every background. ← Back to all roles