Production-Ready Generative AI Engineer (RAG & Azure)

InterImage

Arlington (VA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

InterImage is seeking engineers to convert Generative AI concepts into production-ready software, focusing on AI-powered applications for mission-critical customers. You will design, develop, deploy, and continuously improve cloud-native AI solutions in Azure, emphasizing secure, scalable architectures and rapid iteration.

You will work with LLMs, Prompts, AI workflows, and APIs, collaborating with software engineers, cloud architects, and data scientists to deliver innovative solutions while

Qualifications

  • 5+ years of software development experience.
  • 2+ years developing Generative AI or Machine Learning applications.
  • Strong Python development experience.
  • Experience with Large Language Models (GPT, Llama, Claude, Mistral or similar).
  • Experience deploying cloud-native apps in Microsoft Azure.
  • Familiarity with containerization (Docker, Kubernetes).
  • Experience with Git, CI/CD, and DevSecOps practices.

Responsibilities

  • Design and build Generative AI applications using LLMs.
  • Develop proof-of-concepts that evolve into production-ready software.
  • Architect RAG solutions using vector databases and enterprise data sources.
  • Build intelligent agents and AI workflows for reasoning and automation.
  • Develop REST APIs and backend services for AI applications.
  • Deploy scalable AI solutions in Azure environments.
  • Design cloud-native architectures using Azure services and AKS.

Skills

Python
Large Language Models
Prompt Engineering
REST APIs
Azure
Kubernetes
DevSecOps
Distributed Systems
Docker
Git & CI/CD

Tools

Docker
Kubernetes
FastAPI/Flask
LangChain/LangGraph
Azure OpenAI

Job description

InterImage is seeking engineers to convert Generative AI concepts into production-ready software, focusing on AI-powered applications for mission-critical customers. You will design, develop, deploy, and continuously improve cloud-native AI solutions in Azure, emphasizing secure, scalable architectures and rapid iteration.

You will work with LLMs, Prompts, AI workflows, and APIs, collaborating with software engineers, cloud architects, and data scientists to deliver innovative solutions while

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