Gen AI

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Description

The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment, with a focus area for AWS cloud enablement. This role requires strong hands‑on expertise in LLM-based applications, GenAI architectures, and modern cloud‑native engineering practices. The position partners closely with cross‑functional teams to build production‑ready AI systems that meet enterprise standards for scalability, security, and reliability.

Basic Qualifications

• Minimum 5+ years of experience developing and implementing GenAI applications leveraging: Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG) architectures, Prompt engineering techniques, and Agentic AI concepts and workflows
• Minimum 5+ years of experience building intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Minimum 5+ years of experience evaluating solution performance, accuracy, and scalability of GenAI implementation
• Minimum 5+ years of experience contributing to the end‑to‑end GenAI lifecycle, including: Solution design and development, Integration and deployment, and Performance tuning and optimization
• Minimum 5+ years of experience supporting secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Minimum 5+ years of experience assisting in implementing monitoring, logging, and observability practices for production environment
• Minimum 5+ years of experience developing and deploying GenAI systems across cloud platforms (Azure and AWS)
• Minimum 5+ years of experience contributing to distributed system design for scalable AI workloads
• Minimum 5+ years of experience utilizing modern infrastructure practices: Containerization (Docker), Orchestration (Kubernetes), and Infrastructure as Code (Terraform, ARM/Bicep)
• Minimum 5+ years of experience ensuring solutions meet enterprise expectations for availability, performance, and securit
• Minimum 5+ years of experience developing scalable applications using Python and microservices‑based architecture
• Minimum 5+ years of experience applying secure coding standards and proper data handling practices for enterprise, regulated environments
• Minimum 5+ years of experience contributing to CI/CD pipelines, automated testing, and deployment workflows
• Minimum 5+ years of experience participating in code reviews and adhere to engineering best practices

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.