AI Full-Stack Engineer

Ampcus Inc; Chantilly (VA); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Ampcus Inc. is seeking an experienced AI Full-Stack Engineer in Chantilly, VA, onsite. You will design, build, and deploy scalable AI-enabled applications integrating LLMs, RAG architectures, and vector-based knowledge retrieval.

You’ll work across cloud-native development, backend services, and modern AI frameworks to deliver secure, enterprise-grade solutions. Responsibilities include building RESTful/GraphQL APIs, designing MCP servers, and implementing microservices with Docker/Kubernetes on

Qualifikationen

• BS degree in CS, Eng, IT or related field.
• 7+ years in full-stack dev; 3+ years in Generative AI/Agentic AI.
• Hands-on with building and deploying LLM-powered apps.
• Experience with RAG architectures and knowledge retrieval.
• Experience with LangChain/LangGraph/Semantic Kernel/AutoGen or similar.
• Experience with vector databases and semantic search.
• Experience developing AI agents and orchestration frameworks.
• Experience designing MCP servers/connectors for AI integration.
• Experience with AWS AI/ML services and cloud deployments.
• Strong AWS architecture, deployment and ops.
• Experience with Docker and Kubernetes.
• Frontend: React/Angular/Vue; Backend: Python/Node/Java.
• Experience with REST, GraphQL, and microservices.
• Experience with AI-assisted development tools (Copilot, etc).
• CI/CD and DevOps best practices.
• Knowledge of prompt engineering, AI governance, responsible AI.
• Observability/monitoring/telemetry experience.

Aufgaben

• Design, develop, and maintain scalable full-stack Generative AI and Agentic AI apps.
• Build responsive UIs and integrate with APIs, AI services, and enterprise systems.
• Collaborate with architects, product owners, and engineering to translate needs into tech solutions.
• Design and develop RESTful and/or GraphQL APIs.
• Build, deploy, and maintain apps on AWS.
• Implement microservices with containerization, orchestration, observability, and IaC.
• Integrate AI-driven capabilities using modern AI frameworks and cloud services.
• Build LLM-powered solutions for conversational experiences and intelligent automation.
• Design RAG architectures and optimize prompts, model interactions, retrieval strategies.
• 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.
• 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.
• 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.
• 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.

Kenntnisse

Full-stack development

Generative AI

Agentic AI

LLM applications

AWS architectures

Docker & Kubernetes

RESTful APIs

GraphQL

CI/CD

Prompt engineering

RAG retrieval

Vector databases

Observability

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

AWS SageMaker

Docker

Kubernetes

React

Angular

Vue.js

Python

Node.js

Java

GraphQL

REST APIs

Jobbeschreibung

Location: Chantilly, VA (Onsite)

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

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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