Senior AI Full Stack Developer

Hello, Job Title : Senior Full Stack Developer Job Classification: TAS2 – TAS2 A4 SC3 Experience Required: 10+ Years Work Location: Harrisburg, Pennsylvania Work Arrangement: 100% Onsite – Mandatory Requisition:813139 Engagement Type: Contract Visa: H1B, GC and USC Position Overview We are seeking a highly experienced, hands-on Senior Full Stack Developer with at least 10 years of professional software development experience to design, develop, integrate, and maintain scalable, secure, and high-performance enterprise applications. The ideal candidate will have strong expertise in modern front-end and back-end technologies, cloud-native architecture, API development, database management, and enterprise systems integration. The candidate must also demonstrate practical experience using AI-powered development tools, Generative AI, and intelligent automation to improve software engineering productivity, code quality, testing, and application capabilities. This is a 100% onsite position in Harrisburg, PA. Candidates must be willing and able to work onsite five days a week and collaborate closely with enterprise application teams, business stakeholders, solution architects, and IT leadership.

Key Responsibilities

1. Full Stack Application Development Design, develop, test, deploy, and maintain enterprise-grade web applications. Build responsive, scalable, and accessible user interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js. Develop robust backend services using technologies such as .NET/C# and Node.js. Design and implement RESTful APIs, microservices, and event-driven integrations. Apply object-oriented programming, design patterns, SOLID principles, and clean architecture. Modernize legacy applications and integrate them with cloud-based platforms. Participate in architectural reviews, technical design sessions, and code reviews.
2. AI-Powered Software Engineering Actively utilize AI-assisted development tools to accelerate application development, debugging, refactoring, documentation, and testing.

Demonstrate hands-on experience with AI-powered development tools, including:

GitHub Copilot: AI-assisted coding, code generation, refactoring, and unit test creation. ChatGPT / OpenAI: Technical problem-solving, code optimization, API integration, and development productivity. Claude: Code analysis, technical documentation, and development assistance. Cursor / Windsurf: AI-native development environments and agent-assisted coding. Microsoft Azure AI Foundry / Azure OpenAI: Enterprise AI application development and integration. Evaluate and implement AI-based development workflows to improve engineering efficiency and software quality. Develop AI-enabled application features using LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG), and enterprise knowledge integration. Understand AI agent frameworks, function calling, vector databases, and AI orchestration patterns. Ensure AI-generated code meets organizational security, compliance, performance, and quality standards. Follow responsible AI practices, including protecting confidential information, validating AI-generated outputs, and securely handling enterprise data.

3. Enterprise Application Integration Design and develop integrations across enterprise platforms, SaaS applications, and internal systems. Build secure APIs and integration services using REST, JSON, OAuth 2.0, and OpenID Connect. Integrate with enterprise platforms such as Microsoft Dynamics 365, Salesforce, SAP, Oracle, or other business applications, as applicable. Develop automated workflows and integrations using Azure Logic Apps, Azure Functions, Power Automate, or comparable technologies. Support data exchange, transformation, synchronization, and integration monitoring. Troubleshoot complex application and integration issues across multiple systems.
4. Cloud, DevOps, and Automation Design and deploy cloud-native applications using Microsoft Azure. Implement CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or equivalent platforms. Work with Docker, Kubernetes, serverless computing, and infrastructure-as-code technologies. Implement automated unit, integration, regression, and API testing. Utilize AI-assisted testing tools to improve test coverage and identify defects. Monitor application performance, security, availability, and operational reliability. Support secure software delivery practices, including DevSecOps and vulnerability remediation.
5. Database and Data Engineering Develop and maintain database solutions using Microsoft SQL Server. Write complex SQL queries and stored procedures.

Design data models and optimize database performance. Implement secure data access and integration patterns. Support data pipelines and AI-ready data architectures where required.

6. Technical Leadership and Collaboration Serve as a senior technical contributor and mentor to development team members. Lead technical design discussions and recommend scalable engineering solutions. Collaborate with business analysts, solution architects, product owners, and enterprise application teams. Translate complex business requirements into maintainable technical solutions. Participate in Agile ceremonies, sprint planning, estimation, and delivery activities. Develop technical documentation, architecture diagrams, and implementation standards. Identify opportunities to improve development processes through AI, automation, and reusable components. Required Qualifications Education and Experience Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience. Minimum of 10 years of professional software development experience, including significant hands-on full stack development. Demonstrated experience designing and delivering complex enterprise applications. Strong experience working in cross-functional enterprise IT environments. Technical Skills Strong full stack development experience across frontend and backend technologies. Experience with JavaScript frameworks such as React, Angular, or Vue.js. Backend development expertise in .NET/C#, Node.js, or comparable technologies. Strong knowledge of RESTful APIs, microservices, and enterprise application integration. Experience with Microsoft Azure and cloud-native application development. Hands-on experience with SQL Server, database design, query development, and performance optimization. Experience with CI/CD pipelines, automated testing, and DevOps practices. Practical experience using AI-assisted development tools to improve software engineering productivity. Understanding of secure coding practices, application performance, and enterprise software architecture. Strong analytical, troubleshooting, communication, and problem-solving skills. Preferred Qualifications Experience building AI-enabled enterprise applications using LLM APIs, RAG, prompt engineering, and AI orchestration. Experience with GitHub Copilot, ChatGPT/OpenAI, Claude, Cursor, Windsurf, or similar AI-assisted development tools. Familiarity with Azure AI Foundry or Azure OpenAI.

Experience with vector databases, AI agents, function calling, and enterprise knowledge integration. Experience with Microsoft Dynamics 365, Salesforce, SAP, Oracle, or comparable enterprise platforms. Knowledge of Docker, Kubernetes, serverless computing, and infrastructure-as-code tools. Experience implementing secure, scalable, and maintainable applications in large enterprise environments. Experience mentoring developers and contributing to technical architecture decisions. Work Location and Availability Location: Harrisburg, PA. Work Arrangement: 100% onsite; remote or hybrid work is not available for this requirement. Candidates must be available to work onsite in Harrisburg throughout the engagement. Candidates should confirm their current location, relocation or commuting plans, and availability before submission. Ideal Candidate Profile The ideal candidate is a senior-level, hands-on Full Stack Developer with 10+ years of experience building enterprise applications across frontend, backend, cloud, databases, and integrations. The candidate should combine strong traditional software engineering skills with practical experience using AI-assisted development tools and building AI-enabled application capabilities. The ability to contribute independently, guide technical decisions, and collaborate effectively with enterprise stakeholders is essential. Required Hands-on experience

Updated resume highlighting relevant full stack development experience:

Total years of software development experience:

Frontend and backend technology expertise:

Microsoft Azure and cloud development experience:

Hands-on experience with AI-powered development tools and Generative AI:

Database and enterprise integration experience: