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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** PTR Global - **Location:** Charlotte, NC, United States (Remote available) - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Temporary contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Cloud Computing, Cyber Security, Continuous Integration, Data Governance, Software Debugging, Graph Database, Python (Programming Language), Metadata, MongoDB, SQL Databases, Systems Integration, TypeScript, Unstructured Data, Enterprise Data Management, Software Organization, Enterprise Software Applications, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Software Application Programming, Generative AI, Git, Data Layers, Build Management, AI Platforms, Deployment Automation, Api Design, Restful APIs - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/4ba77275-8575-4e47-97a8-3d9405f4c45e/artificial-intelligence-engineer ## About the Role * Required Qualifications Hands-on experience with Generative AI, Agentic AI, Machine Learning, or advanced software engineering. \n * Strong Python and TypeScript development experience. \n * Experience building APIs, services, automation, testing, and debugging. \n * Experience developing applications powered by Large Language Models (LLMs). \n * Experience with agent orchestration, tool calling, state management, context engineering, structured outputs, and multi-step workflows. \n * Experience with LangGraph, LangChain, or similar agent frameworks. \n * Experience with Azure OpenAI or another enterprise AI platform. \n * Experience integrating AI applications with enterprise data, APIs, metadata, applications, or analytical tools. \n * Understanding knowledge graphs, graph-based data, metadata platforms, or semantic data layers. \n * Strong knowledge of REST APIs, SQL, Git, structured/unstructured data, and modern software development practices. \n * Ability to independently take an ambiguous business problem and turn it into a functional prototype. \n * Strong communication skills with the ability to explain technical concepts, risks, limitations, and tradeoffs to business and technology stakeholders. \n * Nice-to-Have Skills: Experience with Datahub, enterprise metadata platforms, knowledge graphs, graph databases, or semantic data layers. \n * Experience building multi-agent systems, enterprise copilots, or AI decision-support applications. \n * Full-stack development experience with React, TypeScript, JavaScript, or MongoDB. \n * Experience with AI evaluation, observability, tracing, guardrails, human oversight, and cost monitoring. \n * Experience with cloud-native development, containers, CI/CD, and automated deployments. \n * Experience working with multiple foundation models and understanding model-selection tradeoffs. \n * Experience with GitHub Copilot or other AI-assisted development tools. \n * Experience in Financial Services, Treasury, Liquidity, Funding, Forecasting, Risk, or Regulatory environments. \n * Knowledge of Responsible AI, Data Governance, Cybersecurity, Model Risk, and enterprise technology controls. \n ## Description This role will focus on rapidly developing AI prototypes, intelligent agents, enterprise copilots, and AI-enabled decision-support solutions. The ideal candidate will have strong experience with Generative AI, Agentic AI, Python, TypeScript, LLMs, and agent orchestration frameworks., You will work closely with business and technology teams to turn complex business problems into working AI solutions while developing reusable patterns that can eventually scale into enterprise platforms. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [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) - [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) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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