AI Engineer / Generative AI Engineer

Role: AI Engineer / Generative AI Engineer Company: Arch Systems LLC Position Type: Full-Time Experience Level: Mid-Level / Senior Location: California or Colorado – 100% Onsite Security Clearance: Active TS/SCI Required (Mandatory) Position Overview Arch Systems LLC is seeking a highly skilled AI Engineer / Generative AI Engineer with an active TS/SCI security clearance to support the development, integration, deployment, and optimization of advanced AI solutions for federal and Department of Defense (DoD) missions. The selected candidate will work with enterprise AI orchestration platforms, including Kamiwaza, to develop secure AI applications, large language model (LLM) integrations, Retrieval-Augmented Generation (RAG) solutions, intelligent agents, and enterprise automation capabilities. Previous experience with Kamiwaza is not required. Candidates must possess strong foundational skills in AI engineering, Python development, LLM integration, and modern AI frameworks, along with the technical aptitude to quickly learn and work with new AI platforms. This position requires 100% onsite work at a designated Government or customer-approved facility in California or Colorado. Remote work is not available. Key Responsibilities Design, develop, test, and deploy Generative AI and machine learning applications supporting mission-critical Government operations.Develop AI-powered applications and backend services using Python, FastAPI, REST APIs, and modern software development frameworks.Build and integrate LLM-powered applications, RAG pipelines, semantic search, vector databases, and intelligent AI agents.Develop AI workflows and agent-based automation using LangChain, LangGraph, LlamaIndex, or similar frameworks.Integrate AI models with enterprise data sources, databases, document repositories, and external systems through APIs.Implement prompt engineering, embeddings, vector search, model inference, and knowledge retrieval capabilities.Support the integration, configuration, and customization of enterprise AI platforms such as Kamiwaza.Work with open-source LLMs and model-serving technologies, including Hugging Face, vLLM, llama.cpp, or comparable tools.Develop and integrate AI applications using OpenAI-compatible APIs, Model Context Protocol (MCP), and other AI integration standards.Collaborate with cloud engineers to deploy AI workloads in Kubernetes-based, on-premises, hybrid, and secure Government environments.Optimize AI applications for performance, accuracy, reliability, latency, and resource utilization.Implement appropriate cybersecurity controls, authentication, authorization, logging, and secure data access.Troubleshoot AI applications, resolve integration issues, and support production deployments.Prepare technical documentation, architecture diagrams, integration procedures, and operational guides.Required Qualifications Active TS/SCI security clearance is mandatory.Must be able to work 100% onsite in California or Colorado.5+ years of experience in software engineering, AI engineering, machine learning, or related technical disciplines.2+ years of hands-on experience developing AI/ML or Generative AI applications.Strong proficiency in Python programming and backend application development.Experience developing and integrating REST APIs using FastAPI, Flask, or comparable frameworks.Hands-on experience with LLMs, Generative AI frameworks, and AI application integration.Understanding of RAG architectures, embeddings, semantic search, and vector databases.Experience integrating AI applications with structured and unstructured enterprise data sources.Familiarity with containerization technologies such as Docker and Kubernetes.Working knowledge of Linux environments, Git, and modern software development practices.Understanding of secure application development, authentication, authorization, and enterprise data protection.Demonstrated ability to rapidly learn and implement new technologies and AI platforms.Preferred Qualifications Experience with LangChain, LangGraph, LlamaIndex, or other AI orchestration frameworks.Experience with Hugging Face, PyTorch, vLLM, llama.cpp, or comparable inference technologies.Experience with vector databases such as Milvus, Qdrant, pgvector, or similar technologies.Experience developing AI agents, tool-calling workflows, or MCP integrations.Experience with knowledge graphs, graph-based retrieval, and enterprise knowledge management.Familiarity with Kubernetes, Helm, and cloud-native AI application deployments.Experience deploying AI applications in AWS, Azure, on-premises, or hybrid cloud environments.Familiarity with GPU-based inference workloads and AI model deployment.Experience supporting DoD, Intelligence Community, or other federal Government environments.Knowledge of NIST security standards, secure AI practices, and classified system requirements.Prior exposure to enterprise AI orchestration platforms, including Kamiwaza, is a plus but not required.Ed