AI Operations Engineer

Concurrent Technologies Corporation

Johnstown PA

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. We are seeking a skilled and creative AI Application Integrator to implement innovative solutions by leveraging state-of-the-art AI models APIs and platforms. This role focuses on seamlessly integrating AI capabilities into existing systems and workflows to deliver practical business-driven outcomes. This role is pivotal to our strategy of rapidly developing and deploying AI-powered applications that enhance our internal operations and solve complex national security challenges for our clients.

The ideal candidate is a hands-on developer who excels at integrating various systems and consuming APIs from leading AI services (e.g. Azure OpenAI Ask Sage). You will be responsible for building the connective tissue between powerful LLMs and our proprietary data and systems creating tangible value and new capabilities for the organization.

Key Responsibilities:

• Design develop and deploy scalable machine learning models and AI algorithms.
• Build and manage robust MLOps and GenAIOps pipelines to automate model training testing and deployment.
• Collaborate with data scientists and software engineers to integrate AI models into our core products and services.
• Implement data ingestion and transformation infrastructure to ensure high-quality data for model training.
• Conduct model evaluation performance monitoring and debugging to ensure reliability and address issues.
• Design and develop AI-powered applications by integrating third-party and internal AI services including LLMs via API calls.
• Build solutions using modern AI development frameworks (e.g. LangChain LlamaIndex) to orchestrate complex workflows manage prompts and connect models to diverse data sources.
• Implement Retrieval-Augmented Generation (RAG) patterns by connecting LLMs to vector databases (e.g. Pinecone ChromaDB) and other data stores to create context-aware factual applications.
• Collaborate with cross-functional teams to embed AI capabilities into new and existing software applications ensuring seamless user experiences.
• Work within our multi-cloud infrastructure leveraging DevSecOps principles and Infrastructure as Code (IaC) to build test and deploy AI applications securely and efficiently.
• Ensure all data handling and API interactions adhere to strict security and compliance protocols particularly when dealing with sensitive government data.
• Support the enhancement and integration of internal AI tools like our Ask Sage chatbot to drive operational efficiency across the company.

Basic Qualifications:

• Bachelors or Masters degree in Computer Science Data Science Engineering or a related quantitative field plus a minimum of 4 years experience.
• Proven experience as an AI Machine Learning or Software Engineer with a minimum of e.g. 3 years of hands-on experience putting models into production.
• Proficiency in programming languages such as Python (essential) and experience with relevant AI/ML frameworks like TensorFlow PyTorch or scikit-learn.
• Solid understanding of mathematical and statistical concepts including probability linear algebra and calculus.
• Experience with cloud platforms (e.g. AWS GCP or Azure) for model deployment and scaling.
• Strong proficiency in Python and extensive experience with consuming RESTful APIs.
• Demonstrated experience building applications that integrate with third-party API-based services.
• Experience building optimizing and maintaining Large Language Models and their application development lifecycle.
• Experience with cloud platforms (AWS Azure) and orchestration/containerization technologies (Docker Kubernetes Prefect Ansible etc.).
• Strong problem-solving skills and the ability to work effectively in a collaborative team environment.

Preferred Qualifications:

• Direct experience building applications with AI orchestration frameworks such as LangChain or LlamaIndex.
• Experience C# for backend development.
• Experience with UI frameworks such as React Blazor.
• Experience with graph databases such as Neo4j.
• Experience with vector databases like Pinecone ChromaDB or Milvus for implementing semantic search and RAG.
• Experience working within the Department of Defense (DoD) or Intelligence Community (IC).
• Familiarity with deploying and managing applications in a secure government cloud environment.
• Knowledge of prompt engineering techniques to optimize the performance and reliability of LLMs.

Why CTC

• Our teams at CTC are passionate and thrive on collaboration in a team environment
• When we encounter a difficult problem we have a variety of talented and diverse employees that work together to solve the toughest challenges
• Competitive salary and benefits package
• Although our work at CTC is extremely important we also recognize the need for our employees to maintain a proper mix of work and personal life
• Visit to learn more

Join us! CTC offers exceptional career growth cutting edge technology educational opportunities and recognition for quality work.

Requisition: SR# 2025-0140

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.