Senior AI Systems Architect — LLM & RAG Leader

Compunnel, Inc.; Dallas (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

Compunnel, Inc. is looking for an experienced Principal Software Engineer to head the design and development of cutting-edge AI and machine learning solutions focusing on Large Language Models (LLMs). This role demands expertise in software engineering, especially with Python, and hands-on experience in machine learning engineering.

The ideal candidate will work collaboratively across teams to ensure the delivery of scalable and reliable AI systems, providing architectural leadership and guidance in advanced AI projects.

Qualifications

• 10+ years of experience in software engineering with recent experience at Principal or Architect level.
• Strong hands-on experience in Machine Learning Engineering and AI system development.
• Extensive experience with Large Language Models (LLMs) and AI workflows.

Responsibilities

• Design, develop, and implement scalable AI and machine learning systems in production environments.
• Lead architecture and engineering efforts for LLM, RAG, and agentic AI solutions.
• Provide technical leadership and architectural guidance across AI and software engineering teams.

Skills

Software engineering expertise

Machine Learning Engineering

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

Architectural leadership

Python programming

Scalable system architecture

Collaboration and communication skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Cloud platforms

CI/CD pipelines

Containerization technologies

Job description

Compunnel, Inc. is looking for an experienced Principal Software Engineer to head the design and development of cutting-edge AI and machine learning solutions focusing on Large Language Models (LLMs). This role demands expertise in software engineering, especially with Python, and hands-on experience in machine learning engineering.

The ideal candidate will work collaboratively across teams to ensure the delivery of scalable and reliable AI systems, providing architectural leadership and guidance in advanced AI projects.