We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
<p>We are seeking a technically strong <strong>Product Engineer</strong> to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.</p><p>The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued.</p><p><br></p><p>How You Will Make an Impact:</p><ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
<p><strong>Software Automation Engineer IV</strong></p><p><strong>Location: </strong>Remote, East Coast hours</p><p><br></p><p>We are seeking a senior-level <strong>Automation Engineer IV</strong> to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of <strong>Python engineering, automation, machine learning, software quality, and AI enablement</strong>, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Help operationalize <strong>AI and machine learning solutions</strong>, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to <strong>integrate and deploy AI capabilities</strong>.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where <strong>AI can improve existing applications, processes, testing, and operational workflows</strong>.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul><p>Design, build, and deploy AI-powered solutions such as:</p><ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
<p>We are looking for an experienced Lead Software Engineer to guide the design, enhancement, and support of warehouse management solutions. This role partners closely with operations, technology teams, and external partners to turn business goals into reliable system capabilities that improve warehouse performance. The ideal candidate brings deep Manhattan WMS expertise, strong technical leadership, and a practical understanding of supply chain processes in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, configuration, and ongoing support of Manhattan WMS solutions across core warehouse functions.</p><p>• Translate operational needs into business, functional, and technical documentation that supports development and delivery efforts.</p><p>• Work closely with warehouse stakeholders to define system changes that align application capabilities with day-to-day business processes.</p><p>• Build, maintain, and troubleshoot integrations between WMS, transportation platforms, enterprise applications, and related downstream systems.</p><p>• Create and enhance reports, queries, and data outputs to address reporting needs and support business decision-making.</p><p>• Investigate production issues, coordinate resolution activities across teams, and participate in rotating on-call support for continuous operations.</p><p>• Support application upgrades, implementations, and testing activities, including validation planning and execution.</p><p>• Collaborate with project managers, developers, vendors, and cross-functional teams to prioritize work, define schedules, and deliver solutions.</p><p>• Mentor entry-level team members, share system knowledge, and provide training on new features, enhancements, and software updates.</p><p>• Review development practices and recommend improvements that strengthen software quality, efficiency, and long-term supportability.</p>