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