# Generative AI Engineer (Clearance Required)

**Company:** [InterImage](http://jobs.workable.com/companies/4zTVt86KzvdQMQgQMeRv7f.md)
**Location:** Arlington, United States
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/e7043155-2f6d-4e8e-ad33-901a8b677993)

## Description

InterImage is looking for engineers who thrive where innovation meets execution. Our Product Division rapidly transforms emerging technologies into operational capabilities supporting mission-critical customers. This isn't a research-only position. You'll take Generative AI concepts from proof of concept to production, designing, developing, deploying, and continuously improving AI-powered applications that solve real-world operational problems. If you enjoy building with the latest LLMs, experimenting with emerging AI technologies, and deploying secure cloud-native solutions in Azure, we'd like to meet you.

**What You'll Do**

-   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.

## Requirements

-   **Active Top Secret Clearance**
-   5+ years of software development experience.
-   2+ years developing Generative AI or Machine Learning applications.
-   Strong Python development experience.
-   Experience working 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.

### Preferred Qualifications

-   Experience with Azure OpenAI Service.
-   Experience building Retrieval-Augmented Generation (RAG) systems.
-   Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
-   Experience with vector databases such as Pinecone, Milvus, pgvector, Azure AI Search, or Chroma.
-   Experience developing AI agents and autonomous workflows.
-   Familiarity with MCP (Model Context Protocol) and agent interoperability concepts.
-   Experience with model evaluation, observability, and prompt optimization.
-   Experience deploying AI solutions in secure or classified environments.
-   Familiarity with Infrastructure as Code using Terraform or Bicep.
-   Knowledge of Azure Machine Learning, Azure AI Foundry, or Azure Cognitive Services.