We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
<p>We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.</p><p>• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.</p><p>• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.</p><p>• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.</p><p>• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.</p><p>• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.</p><p>• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.</p><p>• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.</p><p>• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.</p>
<p><strong><u>Senior Infrastructure DevOps Engineer</u></strong></p><p><strong>Remote - Atlanta, GA</strong></p><p><strong>Location Requirement:</strong> This is a fully remote position; however, candidates <strong>must currently reside in the Atlanta, GA area</strong>. Applicants outside of Atlanta will <strong>not</strong> be considered.</p><p><strong>Work Authorization:</strong> <strong>No C2C. No third-party agencies. No sponsorship or visa transfers now or in the future.</strong></p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking a Senior Infrastructure DevOps Engineer to join a growing IT team. This is an exciting opportunity for someone who enjoys wearing multiple hats across infrastructure, cloud engineering, automation, DevOps, enterprise applications, and technical leadership.</p><p>This role is ideal for someone who enjoys taking ownership of projects, mentoring junior engineers, partnering with business stakeholders, and driving technical initiatives that improve business operations.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead enterprise infrastructure initiatives (approximately 60–70% of the role).</li><li>Support DevOps projects, automation, and development (approximately 30–40% of the role).</li><li>Build and develop APIs using Python and PowerShell.</li><li>Manage Azure cloud resources, including networks, storage, services, and cloud infrastructure.</li><li>Administer and configure financial ERP systems and enterprise business applications.</li><li>Oversee Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and OneDrive.</li><li>Administer Entra ID (Azure Active Directory), including roles, conditional access, governance, and identity management.</li><li>Manage Microsoft Intune for device deployment and compliance.</li><li>Develop PowerShell scripts, Python automation, and Power Automate workflows to reduce manual effort and improve business and Finance processes.</li><li>Support and enhance integrations between Business Central (ERP), Kantata, Navan, ADP, and other enterprise applications.</li><li>Monitor and optimize Azure cloud resources, performance, and costs.</li><li>Apply security best practices, including MFA, device compliance, least-privilege access, and governance.</li><li>Support audits, compliance initiatives, and security investigations.</li><li>Provide Level 3 support for complex infrastructure and application issues.</li><li>Mentor junior engineers and provide technical leadership.</li><li>Take ownership of projects and work across multiple IT disciplines.</li><li>Partner with business stakeholders to recommend technical solutions and improve operational efficiency.</li><li>Help drive future operational growth and leadership initiatives.</li></ul>
<p><strong>About the Role</strong></p><p>Our client is seeking a <strong>QA Engineer</strong> to help drive software quality across a rapidly growing development organization. This team is currently balancing both manual and automated testing and is aggressively expanding its automation capabilities. The ideal candidate will be comfortable working in a fast-paced Agile environment, have strong hands-on testing experience across the application stack, and be excited about leveraging AI-powered development tools such as Claude Code to improve quality and efficiency.</p><p><br></p><p>This is an opportunity to join a team that is investing heavily in automation while still valuing strong manual testing fundamentals. You'll partner closely with developers, product owners, and integration teams to ensure quality is built into every stage of development.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Design, execute, and maintain both manual and automated test cases for web-based applications.</li><li>Work closely with Product Owners and Software Engineers to ensure quality requirements are defined early in the development lifecycle.</li><li>Expand and enhance existing test automation efforts, primarily using Playwright.</li><li>Validate front-end functionality, back-end business logic, APIs, and database integrations.</li><li>Perform API and integration testing to ensure reliable data flow between systems.</li><li>Execute regression, functional, acceptance, and exploratory testing.</li><li>Conduct SQL-based testing and data validation against relational databases.</li><li>Identify, document, and track software defects using Jira.</li><li>Participate in Agile ceremonies including standups, sprint planning, retrospectives, and backlog refinement.</li><li>Help establish QA best practices and improve testing processes across the organization.</li><li>Leverage AI-assisted development and testing tools, including Claude Code, to improve testing efficiency and productivity.</li></ul>