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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Full-Stack Engineer - **Company:** Ampcus Inc - **Location:** Chantilly, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Cursor, DevOps, Programming Tools, Information Retrieval, Python (Programming Language), Node.Js, Cloud Services, Azure Machine Learning, Search Technologies, Enterprise Software Applications, GitHub Copilot, LangChain, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Model Validation, Multi-Cloud, Generative AI, HybridCloud, Indexer, Backend, Agentic-AI, Vue.js, Containerization, AI Platforms, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Amazon Bedrock, AutoGen, Enterprise Integration, Graphql, Front End Software Development, Restful APIs, Model Context Protocol, Semantic Kernel, Network Server, Docker, Microservices - **Published:** November 6, 2026 - **Apply:** https://www.adzuna.com/details/5953184406 ## About the Role 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 platforms Bonus 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 architectures ## Description We'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., * Design, develop, and maintain scalable full-stack Generative AI and Agentic AI applications * Build responsive UIs and integrate them with APIs, AI services, and enterprise systems * Collaborate with architects, product owners, and engineering teams to translate business needs into technical solutions API & Cloud-Native Development * Design and develop RESTful and/or GraphQL APIs * Build, deploy, and maintain applications on AWS * Implement microservices architectures with containerization, orchestration, observability, and infrastructure automation AI-Enabled Applications * Integrate AI-driven capabilities using modern AI frameworks and cloud services * Build LLM-powered solutions for conversational experiences, intelligent automation, and knowledge discovery * Design RAG architectures and optimize prompts, model interactions, and retrieval strategies ️ Agentic AI & Intelligent Workflows * Design autonomous agent-based workflows that orchestrate services and support decision-making * Build AI agents that interact with APIs, databases, and enterprise systems * Implement multi-step reasoning, planning, and workflow automation Vector Databases & Knowledge Retrieval * Build semantic search and vector-based retrieval capabilities * Work with vector databases and search platforms * Develop pipelines for document ingestion, embedding generation, indexing, and semantic retrieval Model Context Protocol (MCP) Development * Design, develop, and deploy MCP servers and services for secure AI-to-enterprise integration * Build reusable MCP-enabled connectors for contextual access to enterprise systems ️ AI-Assisted Development & DevOps * Leverage AI-powered development tools to boost engineering productivity * Design and maintain CI/CD pipelines for automated build, testing, deployment, and monitoring * Support infrastructure automation using IaC and cloud-native DevOps services