We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
<p>Position Summary</p><p>Robert Half is interested in connecting with iOS Software Engineers who enjoy creating mobile applications that solve real-world operational challenges.</p><p>We are developing our network of mobile developers for potential client opportunities in transportation, logistics, fleet management, and mobility technology.</p><p>Engineers in these environments build applications that help drivers, dispatchers, field service professionals, and operations teams stay connected and productive.</p><p>We are particularly interested in candidates who understand native iOS development and have experience delivering dependable applications that continue functioning in environments with unreliable connectivity, heavy location usage, or demanding operational workflows.</p><p>Key Areas of Responsibility</p><ul><li>Design, build, and maintain native iOS applications using Swift and SwiftUI.</li><li>Develop mobile features supporting vehicle tracking, driver workflows, dispatch updates, and delivery management.</li><li>Integrate GPS and location-based functionality using Core Location and MapKit.</li><li>Build offline-capable application workflows with local data storage, synchronization, and appropriate conflict-handling strategies.</li><li>Implement push notifications for operational alerts, schedule updates, and time-sensitive communications.</li><li>Integrate secure RESTful APIs with backend platforms responsible for shipment, asset, or operational data.</li><li>Maintain and enhance existing UIKit applications while gradually adopting modern SwiftUI components.</li><li>Implement application architecture patterns such as MVVM and create reusable mobile components.</li><li>Investigate crashes, memory issues, background execution limitations, and performance problems.</li><li>Create and maintain automated unit and UI tests using XCTest or equivalent tools.</li><li>Participate in application signing, provisioning, TestFlight distribution, and App Store release processes.</li><li>Collaborate with backend developers, product designers, Android engineers, and operational teams to deliver consistent mobile experiences.</li><li>Participate in technical reviews and support continuous improvement of application reliability and maintainability.</li></ul><p>Required Qualifications</p><ul><li>4+ years of professional iOS application development experience.</li><li>Strong programming experience using Swift.</li><li>Hands-on development experience with SwiftUI and familiarity with UIKit.</li><li>Experience delivering and maintaining production iOS applications.</li><li>Solid understanding of iOS application lifecycle management, memory management, and asynchronous programming.</li><li>Experience consuming REST APIs and processing JSON data.</li><li>Familiarity with modern iOS architecture patterns, including MVVM.</li><li>Experience using Xcode, Git, XCTest, and common mobile debugging tools.</li><li>Knowledge of mobile data persistence, caching, and networking fundamentals.</li><li>Experience with application deployment, provisioning profiles, code signing, and Apple distribution processes.</li><li>Ability to work collaboratively with product, design, and engineering teams.</li></ul><p><br></p>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
<p>Robert Half is partnering with a non-profit healthcare technology organization that supports thousands of healthcare providers, payers, and public-sector partners through secure health information exchange, identity management, and interoperability solutions. We are seeking a Senior .NET Software Engineer with strong Microsoft technology expertise to design, build, and maintain scalable applications and integrations in Azure. The ideal candidate will have experience developing modern APIs, cloud services, and enterprise applications using C# and .NET while collaborating on solutions that handle sensitive healthcare and identity data.</p><p><br></p><p><strong>Location:</strong> 100% remote</p><p><strong>Duration:</strong> 10 months</p><p><strong>Schedule:</strong> Monday-Friday; 9am-3pm PDT</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain Azure Durable Functions that process clinical documents, eligibility transactions, and healthcare data workflows.</li><li>Develop and enhance ASP.NET Core APIs, Blazor applications, and administrative tools that support identity, single sign-on, dashboards, and operational services.</li><li>Build integrations with healthcare partners, state agencies, and payers using REST APIs, SFTP, event streams, and other secure communication methods.</li><li>Implement healthcare interoperability and identity standards while maintaining compatibility with external partner systems.</li><li>Write automated unit, integration, and end-to-end tests to ensure solution quality and reliability.</li><li>Build, maintain, and improve Azure DevOps CI/CD pipelines.</li><li>Monitor and troubleshoot production systems using Application Insights, Azure Monitor, OpenTelemetry, and distributed tracing tools.</li><li>Apply security best practices to protect sensitive healthcare and identity data through encryption, Key Vault, audit logging, and least-privilege access controls.</li><li>Participate in code reviews, architecture discussions, technical documentation, and continuous improvement initiatives.</li><li>Support the modernization and migration of legacy .NET Framework and Web Forms applications to modern .NET platforms.</li></ul>
<p><strong>Cloud Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A firm based in Los Angeles, California is seeking a Cloud Security Engineer to strengthen its cybersecurity program across cloud, data, endpoint, identity, and enterprise environments. This is an opportunity to join a collaborative technology organization where security, risk management, and operational excellence are critical to the business.</p><p><br></p><p><strong>Role Summary</strong></p><p>This role has a particular emphasis on Microsoft Azure security and will partner closely with data engineering and technology teams to secure modern cloud-based data environments. The ideal candidate combines strong cloud security architecture and engineering expertise with practical experience across security operations, incident response, vulnerability management, data protection, and risk management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as a security engineering resource across cloud environments, identity and access management, network security, data protection, and overall security architecture.</li><li>Partner with technology teams to implement and maintain secure solutions for enterprise applications, data platforms, and infrastructure.</li><li>Review system and application security configurations, architecture, and integrations before production deployment.</li><li>Monitor, investigate, and respond to cybersecurity incidents across enterprise systems and platforms.</li><li>Lead vulnerability management activities, including risk identification, remediation coordination, patching, and ongoing security improvements.</li><li>Support identity and access management initiatives, including authentication, authorization, and privileged access controls.</li><li>Enhance security monitoring, detection, alerting, and incident response capabilities.</li><li>Help automate and standardize security controls and operational processes.</li><li>Conduct security assessments and collaborate with internal and external stakeholders to identify and reduce risk.</li><li>Support governance, risk, compliance, audit, resiliency, and business continuity initiatives.</li></ul>
<p>We are looking for an experienced Senior Data Engineer who is ready to step into a Manager of Business Intelligence position to lead data strategy and reporting initiatives for a fast-paced organization in Dallas, Texas. This role will oversee the design of scalable analytics solutions, transform complex data into actionable insights, and support decision-making across the business. The ideal candidate brings strong expertise in business intelligence, data warehousing, and AWS-based data tools, along with the ability to guide technical delivery and business collaboration.</p><p><br></p><p>Responsibilities:</p><p>• Lead the development and management of business intelligence solutions that provide clear, timely insights for operational and strategic teams.</p><p>• Design, enhance, and maintain data warehouse structures that support reliable reporting, analytics, and long-term scalability.</p><p>• Build and optimize data integration workflows using AWS Glue, AWS Lambda, and related cloud technologies.</p><p>• Partner with cross-functional stakeholders to translate business questions into dashboards, reports, and data models that drive informed decisions.</p><p>• Establish reporting standards, data quality practices, and governance processes to improve consistency and trust in analytics outputs.</p><p>• Oversee the performance and availability of BI platforms, ensuring efficient access to critical business information.</p><p>• Guide the use of Python and other technical tools to automate data processes and improve reporting efficiency.</p><p>• Support enterprise reporting initiatives, including work related to reporting workbench capabilities and broader data platform enhancements.</p>
<p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>
<p>We’re seeking a Staff Software Engineer to lead technical strategy and execution across a product domain or platform area spanning multiple teams. In this role, you will own outcomes end-to-end by defining success metrics, shaping the roadmap, and driving measurable improvements over time.</p><p><br></p><p>You will set the architectural direction for scalable APIs, backend services, data platforms, and event-driven systems that operate across team boundaries. You’ll also lead the most complex work related to performance, scalability, and reliability.</p><p>As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation practices, simplifying systems, and reducing technical debt.</p><p>You’ll be responsible for making and communicating high-impact technical decisions across architecture, security, performance, cost, and scalability. This includes identifying risks early and designing safeguards before they become incidents.</p><p>This role requires close partnership with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, turn ambiguous business goals into clear multi-quarter technical plans, and align teams on execution.</p><p>You will also help define how the organization adopts AI-assisted and agentic development practices by establishing guardrails for verification, security, and human accountability in production decisions, while measuring the real impact these tools create.</p><p>In addition, you will mentor senior engineers, influence technical direction across the organization, lead architecture reviews, and remain hands-on with the highest-impact technical work.</p><p><br></p>
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
<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>
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity<br>Location: Hybrid - Des Moines, IA<br>Salary: $80,000 - 100,000 base annual salary plus exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>AI / Machine Learning Engineer<br>Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges?<br>We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities.<br>In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives.<br>What You'll Do<br> • Develop and improve machine learning and predictive analytics models<br> • Analyze complex data using Python and SQL<br> • Support anomaly detection, forecasting, and advanced analytics initiatives<br> • Evaluate model performance and recommend improvements<br> • Collaborate with analysts, stakeholders, and leadership to solve business problems<br> • Help shape AI/ML tools, methodologies, and best practices<br>What We're Looking For<br> • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience<br> • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn<br> • Experience with statistical modeling, predictive analytics, and machine learning<br> • Strong SQL and data analysis skills<br> • Ability to explain technical concepts to both technical and non-technical audiences<br> • Collaborative, self-directed, and entrepreneurial mindset<br>Why Join?<br> • Make a visible impact in a growing AI/ML practice<br> • Work directly with decision-makers and leadership<br> • Collaborative, team-oriented culture with exceptional employee tenure<br> • Hybrid work environment<br> • Opportunity to influence strategy, architecture, and future AI initiatives<br> • Competitive compensation and benefits<br><br>This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p><strong>Job Title</strong></p><p>Data Loss Prevention (DLP) Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A globally recognized professional services organization based in Los Angeles, California, with offices across major U.S. cities, is committed to delivering high-impact services in a highly regulated, client-centric environment. The organization prioritizes data protection, security, and compliance, leveraging advanced technology to safeguard sensitive information across a complex, distributed enterprise. Their technology teams play a critical role in maintaining trust, confidentiality, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The DLP Engineer will serve as the dedicated owner of the enterprise Data Loss Prevention program, supporting a distributed workforce anchored in Los Angeles, California. This role is responsible for designing, implementing, and optimizing DLP strategies to protect sensitive data across endpoint, network, email, and cloud environments. The position is highly collaborative, working closely with IT, security teams, and business stakeholders to ensure secure data handling and regulatory compliance.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and manage enterprise DLP solutions across endpoint, network, email, and cloud platforms</li><li>Develop, tune, and maintain DLP policies, rules, and classifiers to detect and prevent data loss</li><li>Monitor DLP alerts, investigate potential data incidents, and support incident response processes</li><li>Partner with cross-functional teams to align DLP controls with business requirements and data protection policies</li><li>Integrate DLP systems with security tools such as SIEM and endpoint detection platforms</li><li>Support data classification initiatives and enforce secure data handling standards</li><li>Optimize DLP performance by reducing false positives and improving detection accuracy</li><li>Manage DLP coverage for collaboration and cloud tools including productivity and file-sharing platforms</li><li>Produce reports and metrics on DLP activity, risks, and program effectiveness</li><li>Collaborate with stakeholders on compliance requirements, audits, and data privacy initiatives</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$150,000–$160,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer contributions and profit-sharing plan</li><li>Paid vacation, sick time, and personal days</li><li>Competitive benefits package supporting overall well-being</li></ul><p><strong>Additional Details</strong></p><ul><li>Remote work environment aligned to core collaboration hours</li><li>Must be located near a major company office for occasional in-person needs: Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles (HQ in DTLA), Miami, New York, Salt Lake City, San Francisco, Seattle, Silicon Valley, Washington D.C., Wilmington</li><li>Structured schedule aligned with standard business hours</li><li>High-impact role within a centralized information security team</li></ul>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
<p>We are seeking an Integration Engineer to support the design, development, and maintenance of cloud-based integration solutions within a growing organization. This role will focus on connecting business applications, data platforms, and enterprise systems while helping improve data flow, automation, and overall system interoperability. The position offers the opportunity to work closely with both technical and business teams to deliver scalable integration capabilities and contribute to long-term architecture and platform strategy.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain integration solutions that enable secure and reliable data exchange across applications and systems.</li><li>Build and support APIs, interfaces, and integration services while ensuring appropriate security, governance, and lifecycle management.</li><li>Develop and enhance automated deployment and operational processes to improve efficiency and reliability.</li><li>Design and implement integration patterns that support both real-time and asynchronous communication needs.</li><li>Collaborate with stakeholders to gather requirements, define technical solutions, and support implementation efforts.</li><li>Create and maintain technical documentation related to integrations, interfaces, and development standards.</li><li>Troubleshoot and resolve integration-related issues, including data, configuration, and system connectivity challenges.</li><li>Support ongoing platform enhancements, modernization initiatives, and system integrations as business needs evolve.</li><li>Develop data transformation and movement processes across multiple systems and platforms.</li><li>Promote best practices, reusable components, and scalable integration frameworks across the enterprise environment.</li></ul><p><br></p>
<p>Robert Half is partnering with a company in Wisconsin to help them hire an experienced Software Support Engineer. In this role you're responsible for supporting, maintaining, and improving the company's business and technical software applications. This role focuses on application administration, troubleshooting, user support, and developing tools and integrations that improve system functionality and reduce manual processes.</p><p><br></p><p>The position will support a variety of applications, including CAD/PDM software, ERP systems, and internal business applications. Working with IT, internal users, software vendors, and the MRP/ERP Solutions Consultant, this person will help resolve application issues, maintain system integrations, improve data accuracy, and identify opportunities to make software and business processes more efficient.</p><p><br></p><p>Principal Responsibilities</p><ul><li>Administer and support company software applications, including user access, licensing, system settings, upgrades, troubleshooting, and software deployments.</li><li>Serve as a primary point of contact for application-related questions and technical support, helping users resolve issues and get the most out of available software.</li><li>Develop and maintain utilities, scripts, and integrations that connect business applications, databases, and internal systems using C#/.NET, VB.NET, or other supported programming languages.</li><li>Identify opportunities to automate repetitive tasks, improve workflows, reduce manual data entry, and increase system efficiency.</li><li>Use SQL to retrieve, compare, and validate data across systems, helping identify discrepancies and maintain data accuracy.</li><li>Support and improve existing integrations between company applications and the ERP system, working with the MRP/ERP Solutions Consultant to investigate transfer failures and resolve data issues.</li><li>Maintain and improve existing VBA/VB.NET scripts and other custom-developed tools.</li><li>Coordinate software installations, licensing, upgrades, and application deployments with IT and relevant software vendors.</li><li>Test application updates, integrations, and custom utilities before deployment. Maintain appropriate documentation, source control, error handling, and recovery procedures.</li><li>Provide user training and develop practical documentation and guides to help employees use company applications effectively.</li><li>Work with IT on infrastructure, security, user access, backups, and application deployments.</li><li>Collaborate with departments across the company to understand software issues, prioritize improvements, and implement practical solutions.</li><li>Perform other related duties as assigned.</li></ul><p><br></p>
We are looking for an experienced AI Development specialist to contribute to healthcare-focused software initiatives in Wisconsin. This long-term contract opportunity is ideal for an experienced engineer who can lead technical work independently, from solution design through production deployment, while building reliable systems for regulated environments. The role blends modern AI capabilities with backend and API engineering, with a strong emphasis on secure cloud delivery and healthcare data interoperability.<br><br>Responsibilities:<br>• Design, develop, and launch production-grade applications and services that support healthcare technology use cases.<br>• Build and maintain secure cloud-based solutions using AWS, with attention to infrastructure reliability, access controls, and compliance expectations.<br>• Create and evolve external-facing APIs that enable third-party integrations and dependable data exchange.<br>• Work with healthcare interoperability standards such as HL7 and EDI to support clinical and operational data workflows.<br>• Apply strong ownership across the full software lifecycle, including architecture decisions, implementation, testing, deployment, and operational support.<br>• Develop AI-enabled features and integrations using tools such as Claude and OpenAI where they add measurable value to product capabilities.<br>• Implement infrastructure as code practices with tools such as AWS CDK or Terraform to standardize and automate deployment processes.<br>• Collaborate on backend and web application development using modern TypeScript-based frameworks and data platforms.<br>• Support regulated data handling practices in HIPAA-governed environments, including secure storage, encryption, and audit-minded engineering.<br>• Contribute to ongoing evaluation and implementation of database and platform enhancements, including audit, vector, and replication-related capabilities when needed.
<p><strong>Security Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>A leading global professional services organization is seeking a Security Engineer with Third-Party Risk experience.</p><p><br></p><p>The Security Engineer plays a critical role in safeguarding the organization’s ecosystem by evaluating the security posture of external vendors and partners. This role focuses on conducting technical risk assessments across SaaS platforms, cloud environments, and hosted services while ensuring compliance with industry standards and client expectations. Based remotely, this position partners closely with IT security leadership and cross-functional stakeholders to mitigate risk and strengthen third-party security practices.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Conduct technical security assessments of third-party vendors across SaaS platforms, cloud infrastructure, and hosted services</li><li>Evaluate vendor security controls, including access management, encryption, and data protection practices</li><li>Review vendor documentation such as SOC 2 reports, ISO certifications, and security testing results</li><li>Assess cloud environments (AWS, Azure, GCP) for security configurations, segmentation, and identity controls</li><li>Analyze API security, including authentication methods, data transmission, and vulnerability risks</li><li>Evaluate DevSecOps maturity, including secure development practices and CI/CD pipeline security</li><li>Track and manage vendor risk findings, ensuring remediation efforts are completed in a timely manner</li><li>Support client-facing security activities, including questionnaires, audits, and compliance reviews</li><li>Collaborate with internal stakeholders to align vendor security with regulatory requirements (e.g., GDPR, CCPA)</li><li>Prepare risk reports and present key findings to leadership and cross-functional teams</li></ul><p><strong>Additional Details</strong></p><ul><li>Remote (must reside in proximity to a supported office region)</li><li>Core hours: 8:00 AM – 4:00 PM PT (7-hour workday)</li><li>Occasional travel may be required for vendor assessments</li><li>Collaborative environment with direct exposure to senior leadership and security stakeholders</li></ul>
We are looking for an Infrastructure Engineer to support and strengthen enterprise infrastructure operations across on-premises and cloud environments. This contract opportunity is ideal for a hands-on individual who can help maintain reliable data center services, improve Microsoft 365 and Azure platforms, and contribute to secure, scalable technology solutions. The role partners with internal teams and external providers to deliver practical infrastructure improvements, support end users, and drive consistent operational standards.<br><br>Responsibilities:<br>• Deliver technical support for employees using Windows, macOS, iOS, and Android devices, ensuring timely resolution of hardware, software, and access issues.<br>• Oversee the health and performance of data center systems across physical, virtual, and hosted environments, and work with service partners to implement improvements.<br>• Execute infrastructure updates and platform changes across servers, operating systems, virtualization layers, and storage systems using controlled deployment practices.<br>• Administer and enhance Microsoft 365 and Azure services with a focus on usability, security, service consistency, and cost awareness.<br>• Configure and support identity and access solutions, including Active Directory and Azure Active Directory integrations with cloud applications and SaaS platforms.<br>• Participate in disaster recovery planning and carry out recovery procedures to validate readiness and alignment with business expectations.<br>• Introduce tools and processes that simplify end-user support, while guiding teams through adoption of new infrastructure services and capabilities.<br>• Create and maintain technical standards, system documentation, and operational procedures to support repeatable service delivery.<br>• Lead or contribute to small and mid-sized infrastructure initiatives across multiple sites, coordinating tasks, timelines, and technical execution.
<p>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>
<p><strong>Sr. Application Engineer / Solutions Architect</strong></p><p><strong>Location:</strong> Bethesda, MD (Hybrid)</p><p><strong>Reports To:</strong> Director, Technology Architecture & Platforms</p><p><strong>Role Type:</strong> Senior Individual Contributor / Technical Lead</p><p>Overview</p><p>Seeking a Sr. Application Engineer to lead the design, development, and support of enterprise applications built with Microsoft Azure and no-code/low-code platforms. This hands-on role combines software engineering, application architecture, code reviews, technical leadership, and mentorship.</p><p>The position is part of Application Engineering within the Digital Engineering Group and supports custom Azure development (C#/.NET, Python, React), Power Apps, Power Automate, and integrations with Appian-based solutions. The role partners closely with Architecture, Product Management, Cybersecurity, Cloud, Data, Support, Integration, and Quality Engineering teams. No direct reports.</p><p>Key Responsibilities</p><ul><li>Lead the design, development, deployment, and support of Azure and low-code applications.</li><li>Develop solutions using C#/.NET, Python, React, Azure services, Power Apps, and Power Automate.</li><li>Build APIs, business logic, data-access components, reusable libraries, templates, and prototypes.</li><li>Modernize legacy applications, spreadsheets, and manual processes.</li><li>Establish engineering standards through code reviews, reusable components, best practices, and mentoring.</li><li>Evaluate when to use low-code solutions versus custom development based on complexity, security, maintainability, and cost.</li><li>Manage application lifecycle processes, versioning, deployments, and environment promotion.</li><li>Collaborate with Integration Engineering on APIs, event-driven services, interfaces, and error handling.</li><li>Partner with Quality Engineering on automated testing, regression coverage, release readiness, and testability.</li><li>Integrate enterprise identity, data, AI, document, and notification services.</li><li>Implement secure development practices including authentication, authorization, managed identities, secrets management, and least-privilege access.</li><li>Utilize source control, CI/CD, automated testing, monitoring, logging, and observability practices.</li><li>Support production releases, troubleshoot complex incidents, perform root-cause analysis, and drive continuous improvement.</li></ul><p><br></p><p><br></p>
<p>We are seeking an experienced <strong>C++ Software Engineer</strong> to design, develop, test, and maintain high-performance software applications and systems. This role will focus on building reliable, scalable solutions using modern C++ development practices, with an emphasis on complex software systems and simulation-based applications. The ideal candidate has a strong background in object-oriented programming, software design, and debugging, with the ability to contribute to all phases of the software development lifecycle.</p>
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
<p>Robert Half is connecting with talented Front-End Software Engineers for potential opportunities with clients developing modern digital commerce platforms and customer-facing web applications.</p><p>We are interested in engineers who enjoy transforming complex business requirements into fast, intuitive, and visually engaging online experiences. Ideal candidates have a strong foundation in JavaScript, React, and TypeScript, along with experience developing production applications used by real customers.</p><p><br></p><p>These opportunities may involve improving online shopping experiences, developing new digital products, and working closely with design and engineering teams to deliver reliable, scalable web applications.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain responsive web applications using React, TypeScript, JavaScript, HTML5, and CSS3.</li><li>Build customer-facing features such as product search, shopping carts, account management, and checkout interfaces.</li><li>Create reusable React components and contribute to scalable front-end design systems.</li><li>Integrate RESTful APIs or GraphQL services to deliver dynamic application functionality.</li><li>Improve page-loading performance, rendering efficiency, and Core Web Vitals across desktop and mobile devices.</li><li>Collaborate with UX/UI designers, product managers, and backend engineers to translate design specifications into production-ready features.</li><li>Implement automated component, integration, and end-to-end testing.</li><li>Troubleshoot cross-browser compatibility issues and resolve production defects.</li><li>Support A/B testing, feature flags, and performance monitoring to improve customer engagement.</li><li>Maintain accessibility standards and follow secure front-end development practices.</li><li>Participate in Agile sprint planning, technical discussions, and peer code reviews.</li></ul><p><br></p>
<p><strong>Build the systems that keep the business running.</strong></p><p>We're seeking a <strong>PHP Developer</strong> to join our enterprise technology team and develop, enhance, and support internal business applications used across multiple departments. This role is ideal for someone who enjoys solving business challenges through technology and working closely with end users to improve operational efficiency.</p><p><strong>What You'll Do:</strong></p><ul><li>Design, develop, and maintain internal web-based applications using PHP.</li><li>Collaborate with business stakeholders to gather requirements and deliver solutions.</li><li>Integrate applications with databases, APIs, and other enterprise systems.</li><li>Troubleshoot issues, optimize performance, and support ongoing enhancements.</li><li>Participate in code reviews and contribute to application architecture decisions.</li></ul><p><strong>What We're Looking For:</strong></p><ul><li>Experience developing applications with PHP and SQL databases.</li><li>Strong understanding of web technologies including HTML, CSS, JavaScript, and REST APIs.</li><li>Experience working with business systems, workflows, and data integrations.</li><li>Ability to communicate effectively with both technical and non-technical teams.</li><li>Experience with modern PHP frameworks is a plus.</li></ul><p><strong>Why Join Us?</strong></p><ul><li>Work on high-impact applications used across the organization.</li><li>Stable enterprise environment with long-term projects.</li><li>Collaborative team culture and opportunities for professional growth.</li><li>Competitive compensation and comprehensive benefits.</li></ul><p>If you enjoy building practical software that solves real business problems, we'd love to hear from you.</p>