LLM Agent Systems Engineer — Real-World AI Apps (Onsite)

Corepass; Menlo Park (CA); On-site; USD 130,000 - 200,000; Full time

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

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.