Job Description
🚀 We're Hiring: AI Full-Stack Engineer 🚀
\n
📍 Location: Chantilly, VA (Onsite)
\n
💼 Duration: Full-Time
\n
\n
About the Role
\n
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.
\n
If you love turning cutting-edge AI into secure, high-performing enterprise solutions — this role is for you.
\n
\n
What You'll Do
\n
🤖 AI Full-Stack Development
\n
- \n
- 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
\n
\n
\n
\n
\n
🔗 API & Cloud-Native Development
\n
- \n
- 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
\n
\n
\n
\n
\n
🧠 AI-Enabled Applications
\n
- \n
- 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
\n
\n
\n
\n
\n
⚙️ Agentic AI & Intelligent Workflows
\n
- \n
- 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
\n
\n
\n
\n
\n
🔍 Vector Databases & Knowledge Retrieval
\n
- \n
- 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
\n
\n
\n
\n
\n
🔌 Model Context Protocol (MCP) Development
\n
- \n
- 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
\n
\n
\n
\n
🛠️ AI-Assisted Development & DevOps
\n
- \n
- 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
\n
\n
\n
\n
\n
What We're Looking For
\n
✅ Bachelor's degree in Computer Science, Engineering, IT, or related field
\n
✅ 7+ years of full-stack software development experience, with 3+ years focused on Generative AI and/or Agentic AI
\n
✅ Hands-on experience building and deploying LLM-powered applications
\n
✅ Demonstrated experience with RAG architectures and knowledge retrieval systems
\n
✅ Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar AI frameworks
\n
✅ Experience with vector databases and semantic search technologies
\n
✅ Experience developing AI agents and agent orchestration frameworks
\n
✅ Experience designing MCP servers, connectors, or related AI integration frameworks
\n
✅ Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Amazon Q Developer, etc.)
\n
✅ Strong AWS cloud architecture, deployment, and operations experience
\n
✅ Experience with Docker and Kubernetes
\n
✅ Frontend experience with React, Angular, or Vue.js
\n
✅ Backend experience with Python, Node.js, Java, or comparable technologies
\n
✅ Experience with RESTful APIs, GraphQL, and microservices
\n
✅ Experience with AI-assisted development tools (Claude Code, Codex, Cursor, Cline, GitHub Copilot, or similar)
\n
✅ CI/CD pipeline and DevOps best practices experience
\n
✅ Knowledge of prompt engineering, model evaluation, AI governance, and responsible AI
\n
✅ Experience with observability, monitoring, and telemetry platforms
\n
\n
Bonus Points
\n
⭐ Master's degree in CS, AI, Data Science, or related discipline
\n
⭐ AWS, Azure, Kubernetes, or AI/ML certifications
\n
⭐ Experience building enterprise-scale AI applications in regulated or highly secure environments
\n
⭐ Familiarity with hybrid cloud and multi-cloud architectures
\n
\n
Why Join Us?
\n
- \n
- Work on cutting-edge AI initiatives with real enterprise impact
- Collaborate with a talented, innovation-driven engineering team
- Grow your skills across the latest AI, cloud, and full-stack technologies
\n
\n
\n
\n
\n
📩 Interested? Apply now or DM us for more details!
\n
🔗 [Insert Application Link]
\n
#AIJobs #FullStackEngineer #GenerativeAI #AgenticAI #LLM #RAG #MCP #AWS #Kubernetes #Docker #LangChain #VectorDatabase #MachineLearning #Hiring #TechJobs #AIEngineer #CloudNative #DevOps #PromptEngineering #NowHiring