LLM Application Engineer, Agent Systems

Corepass

Menlo Park (CA)

On-site

USD 130,000 - 200,000

Full time

12 days ago

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Job summary

Corepass is hiring an LLM Application Engineer to build production-grade AI applications and agent systems. You will design multi-step workflows, implement RAG and knowledge-base solutions, and optimize latency and costs in real-world business use cases.

The role requires a Master’s degree in CS, strong Python engineering skills, and experience with LangChain/LlamaIndex. Remote work is not offered; expect in-office collaboration in Menlo Park, CA.

Qualifications

  • Master’s degree in Computer Science or related field.
  • Proficient in Python with strong engineering skills.
  • Experience with LLM application frameworks (LangChain, LlamaIndex) preferred.
  • Understanding of RAG, vector databases, and related technologies.
  • Experience building AI agents, automation systems, or AI products; backend development with Python/Go/Node.js.

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 and service orchestration.
  • Optimize model usage cost, response latency, and system stability.
  • Drive deployment, iteration, and business adoption of AI systems.

Skills

Python
LangChain
LlamaIndex
LLM apps
Backend dev
System design
Go/Node.js
RAG

Education

Master's degree in CS

Job description

Menlo Park, CA · 5 days/week in office · Full-time

About Corepass

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.

Corepass is an equal opportunity employer. We hire on merit and welcome candidates of every background.

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