Senior GenAI Engineer - AWS Cloud & LLM Systems

Artifintech; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Artifintech seeks a Senior Engineer (Generative AI) to design, build, and deploy scalable GenAI solutions in an enterprise setting with a focus on AWS cloud enablement. You will work on LLM-based apps, GenAI architectures, and modern cloud-native engineering practices, partnering with cross-functional teams to deliver production-ready AI systems.

You will leverage LangChain/LangGraph, agentic AI concepts, secure coding, CI/CD, containerization with Docker and Kubernetes, Terraform or ARM/Bicep,

Qualifications

• Minimum 5+ years developing GenAI applications with LLMs, RAG, prompts and agentic workflows.
• Minimum 5+ years building intelligent pipelines using LangChain, LangGraph, and Foundry Agent Service.
• Minimum 5+ years evaluating GenAI solution performance, accuracy, and scalability.
• Minimum 5+ years contributing to end-to-end GenAI lifecycle: design, development, deployment, and optimization.
• Minimum 5+ years ensuring secure deployment, horizontal scaling, and operational stability of GenAI workloads.
• Minimum 5+ years implementing monitoring, logging, and observability for production environments.
• Minimum 5+ years deploying GenAI systems across cloud platforms (Azure and AWS).
• Minimum 5+ years contributing to distributed system design for scalable AI workloads.
• Minimum 5+ years using modern infrastructure practices: Docker, Kubernetes, and Terraform/ARM-Bicep.
• Minimum 5+ years ensuring availability, performance, and security of GenAI solutions.

Skills

GenAI

LLMs

RAG

Prompt engineering

LangChain

LangGraph

Microsoft Foundry Agent Service

Python

Docker

Kubernetes

Terraform

ARM/Bicep

Azure

AWS

CI/CD

Distributed systems

Tools

LangChain

LangGraph

Microsoft Foundry Agent Service

Docker

Kubernetes

Terraform

ARM/Bicep

Job description

Artifintech seeks a Senior Engineer (Generative AI) to design, build, and deploy scalable GenAI solutions in an enterprise setting with a focus on AWS cloud enablement. You will work on LLM-based apps, GenAI architectures, and modern cloud-native engineering practices, partnering with cross-functional teams to deliver production-ready AI systems.

You will leverage LangChain/LangGraph, agentic AI concepts, secure coding, CI/CD, containerization with Docker and Kubernetes, Terraform or ARM/Bicep,