Senior GenAI Engineer: LLMs & AWS Cloud for Scalable AI

Cloud Analytics Technologies, LLC; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions with a focus on AWS cloud enablement. The role requires hands-on work with LLM-based applications, GenAI architectures, and modern cloud-native practices.

You will partner with cross-functional teams to deliver production-ready AI systems that meet security, reliability, and scalability standards across enterprise environments.

Qualifications

• 5+ years of experience delivering GenAI applications using LLMs and RAG architectures.
• 5+ years building intelligent pipelines with LangChain, LangGraph, or Foundry Agent Service.
• 5+ years evaluating GenAI performance, accuracy, and scalability.
• 5+ years contributing to end-to-end GenAI lifecycle: design, integration, deployment, tuning.
• 5+ years securing deployments, horizontal scaling, and operational stability.
• 5+ years implementing monitoring, logging, and observability for production GenAI workloads.
• 5+ years deploying GenAI across cloud platforms (Azure and AWS).
• 5+ years designing distributed systems for scalable AI workloads.
• 5+ years with Docker, Kubernetes, and Infrastructure as Code (Terraform/ARM/Bicep).
• 5+ years ensuring availability, performance, and security in enterprise settings.
• 5+ years coding in Python and building microservices-based architectures.
• 5+ years applying secure coding standards and proper data handling for regulated environments.
• 5+ years contributing to CI/CD pipelines, automated testing, and deployment workflows.
• 5+ years participating in code reviews and following engineering best practices.

Responsibilities

• Design, develop, and deploy GenAI solutions for enterprise use cases.
• Build production-ready GenAI systems with AWS cloud enablement.
• Collaborate with cross-functional teams to ensure scalable, secure deployments.
• Evaluate performance, accuracy, and scalability of GenAI implementations.
• Contribute to end-to-end GenAI lifecycle from design to deployment.
• Implement monitoring, logging, and observability in production workloads.

Skills

LLMs

RAG architectures

Prompt engineering

Agentic AI

LangChain

LangGraph

Foundry Agent Service

Performance evaluation

GenAI lifecycle

Lifecycle design

Integration & deployment

Performance tuning

Secure deployment

Horizontal scaling

Observability

Terraform

Docker

Kubernetes

Python

Microservices

Secure coding

Data handling

CI/CD

Automated testing

Code reviews

Best practices

Tools

Docker

Kubernetes

Terraform

ARM/Bicep

Job description

Cloud Analytics Technologies, LLC is seeking a Senior Engineer (Generative AI) to design, develop, and deploy scalable GenAI solutions with a focus on AWS cloud enablement. The role requires hands-on work with LLM-based applications, GenAI architectures, and modern cloud-native practices.

You will partner with cross-functional teams to deliver production-ready AI systems that meet security, reliability, and scalability standards across enterprise environments.