{"schemaVersion":"jobsearcher.job.v1","id":"029ae366e483d97e155ca290","url":"https://jobsearcher.com/jobs/029ae366e483d97e155ca290","canonicalUrl":"https://jobsearcher.com/jobs/029ae366e483d97e155ca290","title":"AI Full-Stack Engineer","description":"We're Hiring: AI Full-Stack EngineerLocation: Chantilly, VA (Onsite)Duration: Full-TimeAre you the right candidate for this opportunity Make sure to read the full description below.About the RoleWe're looking for an experienced AI Full-Stack Engineer with a passion for building next-generation intelligent applications. You'll work at the intersection of cloud-native development, modern AI technologies, and scalable backend systems — designing and deploying AI-enabled applications that integrate LLMs, RAG architectures, agentic AI, and vector-based knowledge retrieval.If you love turning cutting-edge AI into secure, high-performing enterprise solutions — this role is for you.What You'll DoAI Full-Stack DevelopmentDesign, develop, and maintain scalable full-stack Generative AI and Agentic AI applicationsBuild responsive UIs and integrate them with APIs, AI services, and enterprise systemsCollaborate with architects, product owners, and engineering teams to translate business needs into technical solutionsAPI & Cloud-Native DevelopmentDesign and develop RESTful and/or GraphQL APIsBuild, deploy, and maintain applications on AWSImplement microservices architectures with containerization, orchestration, observability, and infrastructure automationAI-Enabled ApplicationsIntegrate AI-driven capabilities using modern AI frameworks and cloud servicesBuild LLM-powered solutions for conversational experiences, intelligent automation, and knowledge discoveryDesign RAG architectures and optimize prompts, model interactions, and retrieval strategiesAgentic AI & Intelligent WorkflowsDesign autonomous agent-based workflows that orchestrate services and support decision-makingBuild AI agents that interact with APIs, databases, and enterprise systemsImplement multi-step reasoning, planning, and workflow automationVector Databases & Knowledge RetrievalBuild semantic search and vector-based retrieval capabilitiesWork with vector databases and search platformsDevelop pipelines for document ingestion, embedding generation, indexing, and semantic retrievalModel Context Protocol (MCP) DevelopmentDesign, develop, and deploy MCP servers and services for secure AI-to-enterprise integrationBuild reusable MCP-enabled connectors for contextual access to enterprise systemsAI-Assisted Development & DevOpsLeverage AI-powered development tools to boost engineering productivityDesign and maintain CI/CD pipelines for automated build, testing, deployment, and monitoringSupport infrastructure automation using IaC and cloud-native DevOps servicesWhat We're Looking For Bachelor's degree in Computer Science, Engineering, IT, or related field 7+ years of full-stack software development experience, with 3+ years focused on Generative AI and/or Agentic AI Hands-on experience building and deploying LLM-powered applications Demonstrated experience with RAG architectures and knowledge retrieval systems Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar AI frameworks Experience with vector databases and semantic search technologies Experience developing AI agents and agent orchestration frameworks Experience designing MCP servers, connectors, or related AI integration frameworks Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Amazon Q Developer, etc.) Strong AWS cloud architecture, deployment, and operations experience Experience with Docker and Kubernetes Frontend experience with React, Angular, or Vue.js Backend experience with Python, Node.js, Java, or comparable technologies Experience with RESTful APIs, GraphQL, and microservices Experience with AI-assisted development tools (Claude Code, Codex, Cursor, Cline, GitHub Copilot, or similar) CI/CD pipeline and DevOps best practices experience Knowledge of prompt engineering, model evaluation, AI governance, and responsible AI Experience with observability, monitoring, and telemetry platformsBonus Points Master's degree in CS, AI, Data Science, or related discipline AWS, Azure, Kubernetes, or AI/ML certifications Experience building enterprise-scale AI applications in regulated or highly secure environments Familiarity with hybrid cloud and multi-cloud architecturesWhy Join Us?Work on cutting-edge AI initiatives with real enterprise impactCollaborate with a talented, innovation-driven engineering teamGrow your skills across the latest AI, cloud, and full-stack technologiesInterested? xaygatp Apply now or DM us for more details! [Insert Application Link]#AIJobs #FullStackEngineer #GenerativeAI #AgenticAI #LLM #RAG #MCP #AWS #Kubernetes #Docker #LangChain #VectorDatabase #MachineLearning #Hiring #TechJobs #AIEngineer #CloudNative #DevOps #PromptEngineering #NowHiring","company":"Ampcus","rawCompany":"ampcus","city":"Chantilly","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-11-05T02:11:48.273Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Full-Stack Engineer","description":"We're Hiring: AI Full-Stack EngineerLocation: Chantilly, VA (Onsite)Duration: Full-TimeAre you the right candidate for this opportunity Make sure to read the full description below.About the RoleWe're looking for an experienced AI Full-Stack Engineer with a passion for building next-generation intelligent applications. You'll work at the intersection of cloud-native development, modern AI technologies, and scalable backend systems — designing and deploying AI-enabled applications that integrate LLMs, RAG architectures, agentic AI, and vector-based knowledge retrieval.If you love turning cutting-edge AI into secure, high-performing enterprise solutions — this role is for you.What You'll DoAI Full-Stack DevelopmentDesign, develop, and maintain scalable full-stack Generative AI and Agentic AI applicationsBuild responsive UIs and integrate them with APIs, AI services, and enterprise systemsCollaborate with architects, product owners, and engineering teams to translate business needs into technical solutionsAPI & Cloud-Native DevelopmentDesign and develop RESTful and/or GraphQL APIsBuild, deploy, and maintain applications on AWSImplement microservices architectures with containerization, orchestration, observability, and infrastructure automationAI-Enabled ApplicationsIntegrate AI-driven capabilities using modern AI frameworks and cloud servicesBuild LLM-powered solutions for conversational experiences, intelligent automation, and knowledge discoveryDesign RAG architectures and optimize prompts, model interactions, and retrieval strategiesAgentic AI & Intelligent WorkflowsDesign autonomous agent-based workflows that orchestrate services and support decision-makingBuild AI agents that interact with APIs, databases, and enterprise systemsImplement multi-step reasoning, planning, and workflow automationVector Databases & Knowledge RetrievalBuild semantic search and vector-based retrieval capabilitiesWork with vector databases and search platformsDevelop pipelines for document ingestion, embedding generation, indexing, and semantic retrievalModel Context Protocol (MCP) DevelopmentDesign, develop, and deploy MCP servers and services for secure AI-to-enterprise integrationBuild reusable MCP-enabled connectors for contextual access to enterprise systemsAI-Assisted Development & DevOpsLeverage AI-powered development tools to boost engineering productivityDesign and maintain CI/CD pipelines for automated build, testing, deployment, and monitoringSupport infrastructure automation using IaC and cloud-native DevOps servicesWhat We're Looking For Bachelor's degree in Computer Science, Engineering, IT, or related field 7+ years of full-stack software development experience, with 3+ years focused on Generative AI and/or Agentic AI Hands-on experience building and deploying LLM-powered applications Demonstrated experience with RAG architectures and knowledge retrieval systems Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar AI frameworks Experience with vector databases and semantic search technologies Experience developing AI agents and agent orchestration frameworks Experience designing MCP servers, connectors, or related AI integration frameworks Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Amazon Q Developer, etc.) Strong AWS cloud architecture, deployment, and operations experience Experience with Docker and Kubernetes Frontend experience with React, Angular, or Vue.js Backend experience with Python, Node.js, Java, or comparable technologies Experience with RESTful APIs, GraphQL, and microservices Experience with AI-assisted development tools (Claude Code, Codex, Cursor, Cline, GitHub Copilot, or similar) CI/CD pipeline and DevOps best practices experience Knowledge of prompt engineering, model evaluation, AI governance, and responsible AI Experience with observability, monitoring, and telemetry platformsBonus Points Master's degree in CS, AI, Data Science, or related discipline AWS, Azure, Kubernetes, or AI/ML certifications Experience building enterprise-scale AI applications in regulated or highly secure environments Familiarity with hybrid cloud and multi-cloud architecturesWhy Join Us?Work on cutting-edge AI initiatives with real enterprise impactCollaborate with a talented, innovation-driven engineering teamGrow your skills across the latest AI, cloud, and full-stack technologiesInterested? xaygatp Apply now or DM us for more details! 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