Software Engineer - AI Development - Concurrent Technologies Corporation

Software Engineer – AI Development

Concurrent Technologies Corporation

Johnstown, PA (Remote)

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Employee Background Check Required

Concurrent Technologies Corporation (CTC) is embarking on a strategic initiative to integrate Artificial Intelligence (AI) across our business to improve internal operations and deliver new capabilities for our clients. CTC is seeking a versatile Software Engineer to work with our DevOps team towards bridging the gap between sophisticated AI models and user-facing applications. In this role, you will be a key contributor to our full-stack development ecosystem, leveraging .NET Core for robust backend services, creating interfaces with React and Blazor, and applying AI-powered tools and services to add intelligence to our applications. This role will also provide opportunities for growth into more advanced AI enablement projects as the organization’s AI strategy evolves.

You aren’t just a “web developer” or “software engineer” – you are a full-stack engineer with the opportunity to embed AI into the software lifecycle. You’ll take ownership of backend services, APIs, and front-end interfaces, while supporting AI-powered features that improve internal operations and business processes.

As our organization continues to mature in its adoption of AI, this role will help shape how more advanced capabilities are introduced over time. While the primary focus today is integrating and operationalizing AI within applications, there will be opportunities to contribute to more advanced modeling, evaluation, and domain-specific AI solutions as business needs evolve and our AI ecosystem grows. Experience with AI frameworks is a plus, but curiosity and a willingness to learn are equally valued.

Key Responsibilities:

• Design, develop, and maintain APIs, and enterprise applications using modern frameworks (C#, .NET Core, React, Blazor, etc.)
• Support development lifecycle processes: requirements gathering, design, development, testing, deployment, and ongoing maintenance.
• Integrate AI capabilities into business systems using commercial AI services (e.g., OpenAI, Microsoft Copilot, Google Gemini, Azure Foundry/AI) and internal applications.
• Collaborate closely with senior engineers and architects to implement scalable and maintainable solutions.
• Design and implement integrations between internal systems, SaaS platforms, and third-party services using RESTful APIs and event-driven patterns.
• Build and support scalable data ingestion and ETL pipelines that prepare and manage data for enterprise applications, analytics, and future AI or modeling initiatives as organizational capabilities mature.
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