SOFTWARE ENGINEER AI DEVELOPMENT

SOFTWARE ENGINEER – AI DEVELOPMENT

Concurrent Technologies Corporation Johnstown, PA (Remote) Minimum Clearance Required: None Clearance Level Must Be Able to Obtain: Secret Background Investigation 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. Leverage Python for automating data processing, API consumption, and embedding AI capabilities into applications. Work within our multi-cloud infrastructure, leveraging DevSecOps principles and Infrastructure as Code (IaC) to build, test, and deploy applications securely and efficiently. Partner with business stakeholders to understand workflows and translate operational needs into technical solutions. Ensure applications and AI integrations follow organizational security, compliance, and responsible data usage practices. Required Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of professional software engineering experience developing full-stack web applications leveraging C#, the .NET Core platform, and modern front-end frameworks such as React/Blazor. Hands‑on experience integrating software with external APIs and SaaS platforms, including leveraging commercial AI services and other cloud‑based applications. Experience designing and working with relational databases (e.g., SQL Server, Oracle, MySQL). Familiarity with cloud platforms (Azure, AWS) and deployment best practices. Execution‑oriented, collaborative, and able to work closely with senior engineers and architects. Understanding of modern AI application patterns such as prompt engineering, retrieval‑augmented generation (RAG), or AI‑assisted automation is preferred. Strong learning mindset and interest in evolving with the company’s AI strategy, including future opportunities to work with advanced AI models, orchestration frameworks, or domain‑specific AI solutions. Preferred Qualifications Experience using AI APIs or integrating commercial AI services into applications. Familiarity with AI orchestration frameworks (LangChain, LlamaIndex) or RAG patterns. Experience with vector or graph databases (Neo4j, Pinecone, ChromaDB). Understanding of secure cloud or government cloud deployment environments. Experience in applying AI frameworks such as PyTorch or TensorFlow in enterprise applications is a plus, with opportunities to expand into more advanced AI modeling as the company’s AI initiatives mature. Why This Role is Exciting Apply AI in real‑world business workflows without needing deep research or model‑building experience. Opportunity to grow into more advanced AI enablement initiatives as the organization matures. Work alongside an experienced DevOps team and contribute to enterprise‑wide solutions. "We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law." #J-18808-Ljbffr