> Markdown version of [/jobs/ext/261731-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/261731-full-stack-engineer). 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). --- # Full Stack Engineer - **Company:** On-Demand Group - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - $166,400.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Quality, Information Engineering, Cursor (Graphical User Interface Elements), Query Languages, Software Debugging, DevOps, Github, Graph Database, Identity and Access Management, Python (Programming Language), Neo4j, Node.Js, Next.js, Systems Integration, TypeScript, AWS Cdk, Pulumi, ReactJS, Large Language Models, Apigee, Backend, Vue.js, Build Management, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Graphql, Front End Software Development, Api Design, Api Gateway, Terraform, Api Management, Docker - **Published:** May 25, 2026 - **Apply:** https://arc.dev/remote-jobs/j/on-demand-group-full-stack-engineer-oruts68xjc ## About the Role * 5+ years of professional experience as a full-stack software engineer, including time in a senior or technical-lead capacity. * Strong proficiency in Python and JavaScript/TypeScript (including Node.js for backend services), with hands-on experience in a modern frontend framework (e.g., React, Next.js, Vue). * Practical experience applying AI tooling (Claude, Copilot, Cursor, etc.) to development workflows, and building LLM- or RAG-based features into production applications. * Working knowledge of graph databases (e.g., Neo4j, Amazon Neptune, TigerGraph) and query languages such as Cypher or Gremlin, with the ability to collaborate effectively with data engineering on graph-backed solutions. * Hands-on experience with Infrastructure-as-Code (Terraform, Pulumi, or AWS CDK) and containerization/orchestration (Docker, Kubernetes). * Strong experience designing and operating services on AWS and/or Azure, including networking, IAM, observability, and cost management. * Strong API development skills, including designing scalable REST and/or GraphQL APIs and integrating with API gateway frameworks (e.g., AWS API Gateway, Azure API Management, Kong, Apigee). * Demonstrated ability to build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps, or similar) and apply modern DevOps practices. * Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. * Strong communication skills for interacting with both technical and non-technical stakeholders. Strongly preferred: Retail industry experience ## Description * Responsibilities: Design, develop, and maintain full-stack applications with Python or Node.js on the backend and modern JavaScript/TypeScript frameworks on the frontend. * Partner with stakeholders to translate business problems into scalable, cloud-native technical solutions. * Architect and provision cloud infrastructure using Infrastructure-as-Code tools such as Terraform, Pulumi, or AWS CDK. * Integrate AI tooling (e.g., Claude, Copilot, Cursor) into daily development workflows to accelerate delivery, and build AI-powered features - RAG pipelines, LLM integrations, agentic workflows - into customer-facing products. * Partner with the data engineering team to model, query, and leverage graph databases (e.g., Neo4j, Amazon Neptune) for connected-data use cases. * Build, optimize, and maintain CI/CD pipelines and DevOps practices for streamlined, reliable software delivery. * Design and operate scalable, observable services on AWS and/or Azure, applying cloud best practices for security, cost, and reliability. * Design and build scalable, well-documented APIs (REST and/or GraphQL) and integrate them with API gateway frameworks such as AWS API Gateway, Azure API Management, or Kong. * Mentor engineers across the team, raise the bar on code quality through reviews, and champion engineering best practices. * Stay current on the evolving AI, cloud, and full-stack landscape, and bring practical innovations into the team. * Troubleshoot, debug, and continuously improve production systems to ensure performance, reliability, and security. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Robots are coming into the wild! 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