Senior AI & LLM Engineer for GenAI & RAG Systems

Cloud Analytics Technologies, LLC; St. Louis (MO); On-site; USD 130,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions. You will build Generative AI and LLM-based applications, integrate AI services into enterprise platforms, and create scalable cloud-native backends.

You will collaborate with stakeholders, architects, and engineers to deliver secure, production-ready AI solutions while optimizing performance and cost. Strong communication and problem-solving skills are essential.

Qualifications

• 7+ years of software development experience.
• 2+ years with Generative AI/LLM development.
• Strong Python/Java skills.
• Experience with major LLM platforms.
• Experience with AI frameworks and RAG pipelines.
• Cloud deployment experience (Azure/AWS/GCP).
• Experience with Docker, Kubernetes, and CI/CD.
• Knowledge of vector databases and AI agents.
• Strong debugging and communication skills.

Responsibilities

• Design and develop AI-powered applications using LLMs.
• Build and optimize RAG pipelines and AI workflows.
• Integrate AI services into enterprise apps and APIs.
• Develop scalable backend services for AI solutions.
• Collaborate with architects and stakeholders to define use cases.
• Optimize model performance and cost, ensure security and governance.
• Participate in code reviews, testing, and deployments.
• Document AI solutions and mentor junior developers.

Skills

Python

Generative AI

LLM Development

OpenAI/Azure OpenAI

LangChain

RAG & Prompting

REST APIs

Cloud Platforms

Docker & Kubernetes

Vector DBs

Debugging & Communication

Tools

Git

CI/CD

Docker

Kubernetes

FastAPI/Flask/Spring Boot

Job description

Cloud Analytics Technologies, LLC is seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions. You will build Generative AI and LLM-based applications, integrate AI services into enterprise platforms, and create scalable cloud-native backends.

You will collaborate with stakeholders, architects, and engineers to deliver secure, production-ready AI solutions while optimizing performance and cost. Strong communication and problem-solving skills are essential.