Generative AI Engineer - Azure & RAG Workflows

InterImage, Inc.; Arlington, Northern (VA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

InterImage, Inc. seeks engineers to take Generative AI concepts from proof of concept to production. You will design, develop, deploy, and continuously improve AI-powered applications for mission-critical customers in Azure cloud environments.

The role emphasizes building with LLMs, RAG systems, and secure cloud-native architectures. Strong Python, API, and DevSecOps experience are required, along with an active Top Secret clearance and collaboration with cross-functional teams.

Qualifications

• Active Top Secret Clearance required.
• 5+ years of software development experience.
• 2+ years developing Generative AI or Machine Learning applications.
• Strong Python development experience.
• Experience with Large Language Models including GPT, Llama, Claude, Mistral, or similar models.
• Experience with prompt engineering and AI workflow development.
• Experience building APIs using FastAPI, Flask, or similar frameworks.
• Experience deploying cloud-native applications in Microsoft Azure.
• Familiarity with containerization technologies including Docker and Kubernetes.
• Experience with Git, CI/CD pipelines, and DevSecOps practices.
• Strong understanding of software architecture and distributed systems.

Responsibilities

• Design and build Generative AI applications using commercial and open-source Large Language Models (LLMs).
• Develop proof-of-concepts that evolve into production-ready software.
• Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources.
• Build intelligent agents and AI workflows capable of reasoning, automation, and decision support.
• Develop REST APIs and backend services supporting AI applications.
• Deploy scalable AI solutions within Microsoft Azure environments.
• Design cloud-native architectures using Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
• Build CI/CD pipelines supporting rapid AI deployment and model iteration.
• Integrate AI capabilities into existing enterprise applications and mission systems.
• Evaluate emerging AI technologies and rapidly prototype new capabilities.
• Collaborate with software engineers, cloud architects, data scientists, and mission stakeholders to deliver innovative solutions.
• Optimize model performance, latency, scalability, security, and cost.
• Implement responsible AI practices, prompt engineering strategies, guardrails, and model evaluation techniques.

Skills

Top Secret Clearance

5+ years software development

2+ years Gen AI / ML

Python

Prompt engineering

AI workflow development

APIs design

Software architecture

Distributed systems

Git & CI/CD

DevSecOps

Tools

Azure cloud services

Docker

Kubernetes

FastAPI/Flask

Azure OpenAI

LangChain / LangGraph

Vector databases (Pinecone / Milvus / pgvector / Azure AI Search / Chroma)

Terraform / Bicep (IaC)

Azure Storage

AKS

Job description

InterImage, Inc. seeks engineers to take Generative AI concepts from proof of concept to production. You will design, develop, deploy, and continuously improve AI-powered applications for mission-critical customers in Azure cloud environments.

The role emphasizes building with LLMs, RAG systems, and secure cloud-native architectures. Strong Python, API, and DevSecOps experience are required, along with an active Top Secret clearance and collaboration with cross-functional teams.