<p>We are looking for a skilled Principal Systems Engineer to join our team in Chicago, Illinois. This role requires a strong understanding of AI platforms, cloud technologies, and modern infrastructure tools. The ideal candidate will play a crucial role in designing, implementing, and maintaining systems to support cutting-edge financial services.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement AI platforms and models to optimize business processes.</p><p>• Manage cloud environments including Microsoft Azure, AWS, and Google Cloud Platform.</p><p>• Develop and maintain Infrastructure as Code solutions using tools like Terraform and Ansible.</p><p>• Oversee containerization efforts with technologies such as Docker and Kubernetes.</p><p>• Implement and maintain data platforms such as Azure Synapse and Databricks.</p><p>• Configure and monitor backup solutions, including CommVault.</p><p>• Manage virtual environments using hypervisors like VMware vSphere.</p><p>• Utilize monitoring and logging tools such as CloudWatch and Prometheus for system analysis.</p><p>• Write and maintain scripts using languages like Powershell, Python, and Bash.</p><p>• Collaborate across teams to ensure seamless integration of SaaS solutions.</p>
<p>Are you passionate about building AI-powered systems that automate and orchestrate complex workflows? Our team is seeking a Workflow Engineer with a focus on AI & LLM Platforms to design, implement, and scale cutting-edge solutions for next-generation agentic and data-driven applications.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Architect and implement workflow solutions integrating Large Language Models (LLMs) and machine learning components.</li><li>Build and optimize AI-powered, agentic workflow patterns for real-world business processes.</li><li>Develop robust orchestration logic using Python or Node.js.</li><li>Collaborate with AI engineers and data scientists to design and integrate agentic systems and applied data science solutions.</li><li>Implement Retrieval Augmented Generation (RAG) pipelines to enhance LLM- and data-driven applications.</li><li>Automate and monitor machine learning workflows, ensuring performance, reliability, and scalability.</li><li>Support deployment and lifecycle management of production AI/ML workflows on modern platforms.</li><li>Document best practices and promote knowledge sharing related to workflow automation and AI/LLM system integration.</li></ul>
We are looking for a skilled and collaborative Platform Engineer to join our team in Pleasant Prairie, Wisconsin. In this role, you will work closely with both the Application Development and Infrastructure teams to design, automate, and deploy robust platforms that support enterprise-level microservices. This is a long-term contract position requiring expertise in Kubernetes, Red Hat OpenShift, CI/CD pipelines, and automation tools.<br><br>Responsibilities:<br>• Collaborate with cross-functional teams to ensure seamless integration and operation of enterprise platforms.<br>• Design and implement scalable container orchestration solutions using open-source Kubernetes.<br>• Develop and automate deployment processes for applications, ensuring efficiency and reliability.<br>• Build and optimize secure CI/CD pipelines using tools such as Jenkins, GitLab CI, and ArgoCD.<br>• Create and maintain automated testing workflows to support continuous delivery.<br>• Manage platform transitions from traditional virtual machines to Kubernetes and Red Hat OpenShift environments.<br>• Utilize scripting languages like Bash and Python to streamline automation tasks.<br>• Troubleshoot and resolve platform-related issues to ensure optimal performance.<br>• Provide technical expertise and guidance to teams on Kubernetes and OpenShift usage.<br>• Document processes and best practices to support ongoing platform development.
We are looking for an experienced Senior Software Engineer to join our team in Lisle, Illinois. In this role, you will lead the development of robust infrastructure systems and collaborate with interdisciplinary teams to deliver innovative software solutions. This position offers the opportunity to design secure systems while driving operational stability and quality.<br><br>Responsibilities:<br>• Lead the design and implementation of secure and scalable RESTful infrastructure systems.<br>• Collaborate with diverse teams, including front-end developers, designers, and product specialists, to create high-quality software solutions.<br>• Develop authentication, authorization, and identity management systems using industry-standard protocols.<br>• Create detailed documentation, including architectural diagrams and technical specifications, for infrastructure and system processes.<br>• Perform thorough code reviews to ensure adherence to quality standards and maintainability.<br>• Architect solutions with a focus on scalability, modularity, and extensibility.<br>• Maintain operational stability by monitoring system performance and addressing issues proactively.
<p>Join our team as a DevOps Engineer specializing in Artificial Intelligence (AI) and Large Language Model (LLM) infrastructure. You will play a critical role in architecting, deploying, and optimizing scalable AI platforms using modern DevOps practices and state-of-the-art tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Build, automate, and manage CI/CD pipelines for deploying and maintaining AI/LLM workloads.</li><li>Collaborate with AI engineers and data scientists to streamline model deployment, versioning, and monitoring.</li><li>Design and maintain cloud infrastructure using Infrastructure as Code (IaC) platforms such as Terraform and Ansible.</li><li>Orchestrate and manage containerized AI environments using Kubernetes.</li><li>Implement robust monitoring and logging solutions utilizing Grafana and Prometheus.</li><li>Optimize AI model inference and training workloads—especially for NVIDIA GPU-powered environments.</li><li>Apply strict security and compliance standards for all infrastructure components.</li><li>Diagnose and resolve production issues, continuously improving reliability and scalability of AI services.</li></ul>
We are looking for a skilled Back End Developer to join our team on a long-term contract basis in Chicago, Illinois. In this role, you will contribute to the development and enhancement of mobile application back-end services for a large enterprise client. This is an opportunity to work within a collaborative environment alongside front-end and data specialists, focusing on impactful solutions.<br><br>Responsibilities:<br>• Design, build, and maintain scalable back-end services using Kotlin and Java.<br>• Develop APIs and configure endpoints for production environments.<br>• Collaborate with front-end and data teams to ensure seamless integration across systems.<br>• Utilize modern frameworks and tools such as Ktor, Gradle/Maven, Liquibase, JUnit, and KoTest.<br>• Work within cloud-native environments, leveraging platforms like AWS Elastic Beanstalk, Lambda, and Postgres.<br>• Implement trunk-based development workflows through GitHub to ensure efficient and collaborative coding practices.<br>• Troubleshoot and resolve technical issues to maintain system reliability and performance.<br>• Participate in code reviews and contribute to the continuous improvement of development processes.<br>• Follow best practices for software development to deliver high-quality, maintainable code.
