<p>We are looking for a Software Engineer to support a growing technology organization in Albuquerque, New Mexico. This Contract opportunity is ideal for a developer who enjoys building custom applications, improving existing platforms, and contributing to modernization efforts in a collaborative environment. The role offers the chance to work across .NET , Java and AWS technologies while helping deliver scalable solutions that support critical business initiatives.</p><p>This is a contract opportunity with possibility for contract to hire/FTE.</p><p><br></p><p>Responsibilities:</p><p>• Create, enhance, and support custom software solutions using modern engineering practices across .NET and Java environments.</p><p>• Partner with stakeholders and technical team members to understand business needs and turn them into effective application features and technical solutions.</p><p>• Maintain and improve existing systems, internal tools, and connected applications to ensure reliable performance and usability.</p><p>• Build and support APIs and application integrations that connect enterprise platforms and streamline data exchange.</p><p>• Participate in testing, troubleshooting, code review, and deployment activities to maintain code quality and production stability.</p><p>• Use GitHub and source control best practices to manage code changes and collaborate efficiently with the broader development team.</p><p>• Contribute to cloud-related development work and broader technology modernization initiatives as priorities evolve.</p><p>• Prepare clear technical documentation for application logic, development workflows, and implemented solutions.</p><p>Other duties as needed</p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>