AI Full-Stack Engineer

🚀 We're Hiring: AI Full-Stack Engineer 🚀

📍 Location: Chantilly, VA (Onsite)

💼 Duration: Full-Time

About the Role

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.

If you love turning cutting-edge AI into secure, high-performing enterprise solutions — this role is for you.

What You'll Do

🤖 AI Full-Stack Development

• 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

What 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 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

Why Join Us?

• 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

📩 Interested? Apply now or DM us for more details!

🔗 [Insert Application Link]

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