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.