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. - **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.