> Markdown version of [/jobs/ext/2493165-aws-ai-native-developer](https://www.wearedevelopers.com/jobs/ext/2493165-aws-ai-native-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AWS + AI-Native Developer

- **Company:** VRN Technologies
- **Location:** Hanover, NJ, United States
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Programming Tools, Amazon DynamoDB, Python (Programming Language), Node.Js, Systems Development Life Cycle, Next.js, Search Technologies, Software Deployment, TypeScript, Google Cloud, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Software Application Programming, Generative AI, Git, Kubernetes, Machine Learning Operations, Functional Programming, Api Design, Api Gateway, Programming Languages
- **Published:** August 1, 2026
- **Apply:** https://www.dice.com/job-detail/4061b0cd-b372-4ec4-bf8e-75c58ed1e5de

## About the Role

* Programming Languages: High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js).
 * AI Frameworks & Libraries: Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
 * Vector Databases: Familiarity with technologies such as Pinecone, Chroma, Milvus, or Vertex AI Vector Search.
 * Development Tools: Hands-on experience with AI coding tools such as Cursor, Claude Code, and GitHub Copilot.
 * Software Engineering Fundamentals: Strong understanding of Git, debugging, testing, API design, and clean code principles.

Preferred Qualifications

 * Experience building custom GPTs, Claude Projects, or Multi-agent orchestration.
 * Understanding of AI governance, security, and "human-in-the-loop" mechanisms.
 * Experience with DevOps and MLOps tools (MLFlow, Kubeflow).

## Description

An AWS + AI-Native Developer (or AI-Native Engineer) experienced to build applications with Artificial Intelligence embedded using AWS Bedrock, into their core architecture, workflows, and delivery lifecycle from day one, rather than treating AI as a tacked-on feature. Focus mainly on model training, AI-native developers specialize in using AI to write code, leveraging LLMs (Large Language Models), and constructing agentic workflows to accelerate production.

Core Responsibilities

 * AWS - Hands on with core services (EC2, EKS, DynamoDB, Lambda, API Gateway, S3)
 * AWS Bedrock
 * Agentic & LLM System Development: Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling, and implement memory modules.
 * AI-Powered Coding: Use AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to rapidly prototype and generate production-ready code.
 * RAG Pipeline Construction: Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
 * API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling, structured outputs, and workflow automation.
 * Production Deployment: Take AI prototypes from Proof of Concept (PoC) to deployment using cloud platforms (AWS, Google Cloud Platform, Azure, Vercel)., * AI-Centric Mindset: Solves problems by blending human judgment with machine intelligence, producing 3 10 more output.
 * Adaptability: Learns new AI tools faster than the industry can create them.
 * Product Focus: Focuses on building, optimizing, and deploying AI applications quickly rather than just researching models.


## Related Videos

- [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)
- [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)