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.