Generative AI Engineer; Clearance Required

Inter Image 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.

• 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 Dev Sec Ops  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 Lang Chain, Lang Graph, Semantic Kernel, Llama Index, 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.