<p>Seeking an AI Engineer to design, implement, and optimize AI-powered solutions that improve business processes, knowledge management, and operational efficiency. This role will work closely with technical and business teams to develop generative AI applications, build retrieval-based solutions, establish AI best practices, and ensure secure and compliant use of AI technologies.</p><p><br></p><p><strong>POSITION TITLE: AI Engineer</strong></p><p><strong>LOCATION: Coppell, TX (Onsite 5 days)</strong></p><p><strong>DURATION: 6-12 Months</strong></p><p><strong>SALARY: $65-70/hour</strong></p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Design, develop, and optimize AI-powered applications and workflows using Large Language Models (LLMs) and generative AI technologies.</li><li>Build and maintain prompt libraries, prompt evaluation frameworks, and best practices to improve AI accuracy, consistency, and user adoption.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions that connect AI platforms to enterprise systems, databases, and document repositories.</li><li>Partner with business stakeholders to identify use cases and implement AI solutions that drive process improvements and operational efficiencies.</li><li>Establish AI governance, security controls, testing procedures, and compliance standards for production deployments.</li></ul>
We are looking for an ML OPS AI Engineer II to support the delivery of machine learning solutions from development through live production in Coppell, Texas. This Long-term Contract opportunity is ideal for a hands-on engineer who can strengthen ML infrastructure, improve deployment reliability, and partner closely with AI teams to operationalize models at scale. The role focuses on building repeatable systems, increasing observability, and ensuring model workflows remain efficient, stable, and cost-conscious across cloud-based environments.<br><br>Responsibilities:<br>• Lead the end-to-end operationalization of machine learning models, moving solutions from experimentation into dependable production environments.<br>• Develop and support ML infrastructure, automated pipelines, and deployment frameworks that improve reliability and reduce manual effort.<br>• Create and manage containerized workloads using Docker and coordinate production services through Kubernetes.<br>• Establish and maintain CI/CD processes for model training, packaging, testing, and release management.<br>• Implement tools and standards for experiment tracking, feature lineage, and model version control to enable reproducibility.<br>• Build monitoring solutions that surface system health, model behavior, and data drift, helping teams respond quickly to production issues.<br>• Provision and optimize cloud and compute resources to support both training and inference workloads effectively.<br>• Improve scalability, operational visibility, and cost efficiency across deployed AI services.<br>• Partner with data scientists and ML engineers to simplify deployment pathways and align platform capabilities with model development needs.
<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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>We are looking for an experienced Engineering Manager to oversee and enhance engineering functions within a chemical manufacturing environment. This role is integral to ensuring operational excellence, compliance with safety standards, and the successful execution of capital projects. The position is based in Glen Rock, Pennsylvania, and offers an opportunity to lead a multidisciplinary team in driving innovation and reliability.</p><p><br></p><p>Responsibilities:</p><p>• Provide leadership and guidance to a team of engineers across multiple disciplines, fostering attention to detail and strong performance.</p><p>• Define engineering priorities, allocate resources effectively, and align team efforts with organizational safety, production, and capital objectives.</p><p>• Oversee the planning and execution of capital projects, including budgeting, scheduling, contractor management, and commissioning.</p><p>• Drive process improvement initiatives to enhance yield, throughput, energy efficiency, and cost-effectiveness.</p><p>• Ensure strict compliance with safety, environmental, and regulatory standards applicable to chemical manufacturing.</p><p>• Collaborate with operations and maintenance teams to improve equipment reliability, minimize downtime, and support continuous improvement.</p><p>• Lead risk assessments, process hazard analyses (PHAs), and incident investigations to enhance workplace safety.</p><p>• Review and approve technical designs, specifications, and other engineering documentation to ensure quality and accuracy.</p><p>• Manage the engineering department budget, including planning for capital expenditures and operational expenses.</p><p>• Contribute to long-term site strategies, including technology upgrades, facility expansions, and modernization efforts.</p>
We are looking for an Automation Engineer to support engineering leadership and drive operational excellence in Trumbauersville, Pennsylvania. This position focuses on guiding cross-functional engineering efforts, strengthening manufacturing processes, and ensuring projects move forward with technical rigor and clear communication. The ideal candidate brings strong experience in automated manufacturing environments and can align engineering priorities with production, quality, and customer expectations.<br><br>Responsibilities:<br>• Guide and develop manufacturing engineering staff, process specialists, and technical team members across product and process initiatives from concept through implementation.<br>• Hold regular coaching discussions to support employee development, address technical roadblocks, and strengthen overall team performance.<br>• Act as the key connection between engineering and partner departments by clearly communicating technical capabilities, limitations, and project needs.<br>• Evaluate process flows, production methods, tooling concepts, machine programming, validation strategies, and system-level engineering plans to ensure quality and feasibility.<br>• Coordinate with operations, quality, supply chain, sales, and customers to align schedules, manage competing priorities, and maintain project momentum.<br>• Address team and cross-functional challenges with a balanced approach that supports collaboration, accountability, and timely execution.<br>• Foster a high-performance engineering culture by setting expectations, encouraging continuous improvement, and reinforcing ownership of results.<br>• Support automation and manufacturing initiatives that improve efficiency, consistency, and overall production capability.
We are looking for a DEX Engineer to support data engineering initiatives for a long-term contract opportunity in Cincinnati, Ohio. This role is suited for someone who enjoys building dependable data solutions, improving data flow performance, and working with modern distributed processing technologies. The ideal candidate will help design and maintain scalable pipelines that enable efficient data movement, transformation, and access across the organization.<br><br>Responsibilities:<br>• Build and optimize large-scale data pipelines using Python and Apache Spark to support reliable data processing.<br>• Develop ETL workflows that collect, transform, and deliver data from multiple source systems into analytical platforms.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Implement and support Kafka-driven streaming solutions for near real-time data ingestion and integration.<br>• Monitor pipeline performance, troubleshoot data issues, and improve processing efficiency across engineering workflows.<br>• Collaborate with technical teams to understand data needs and translate them into scalable engineering solutions.<br>• Maintain data quality standards by validating outputs, resolving inconsistencies, and supporting dependable data availability.<br>• Contribute to ongoing enhancements of data architecture, including updates to existing platforms and operational processes.
<p>We are looking for an experienced M365 Engineer to lead and optimize a cloud-first Microsoft 365 ecosystem for a large, distributed user base in Lake Mary, Florida. This position is ideal for a hands-on, detail-oriented individual who can strengthen security, improve endpoint management, and streamline administration through automation. The role will play a key part in maintaining a modern workplace environment that supports both internal employees and global contractors while advancing identity, compliance, and collaboration capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the day-to-day administration, performance, and ongoing enhancement of the Microsoft 365 environment across the organization.</p><p>• Manage Intune and endpoint management capabilities to secure, configure, and support devices.</p><p>• Design and implement automation solutions that minimize repetitive manual tasks and improve operational efficiency within the M365 platform.</p><p>• Develop and maintain access controls using Conditional Access, multi-factor authentication, and Zero Trust security principles.</p><p>• Administer identity services within Microsoft Entra ID, including user lifecycle support and access governance processes.</p><p>• Support information protection and compliance initiatives through Microsoft Purview and related data governance capabilities.</p><p>• Maintain and improve collaboration services such as SharePoint and OneDrive to ensure reliable and secure document access.</p><p>• Provide technical ownership of a fully cloud-based Microsoft 365 environment.</p>
<p>We are seeking a <strong>Lead Control Systems Analyst</strong> to support major control systems initiatives within a wastewater environment. This role will lead the design, development, migration, startup, and support of industrial automation and SCADA/DCS projects, with a strong emphasis on <strong>Rockwell PlantPAx</strong>. The ideal candidate brings deep hands-on experience with control systems implementation, project startup, and system migration activities.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead control systems design, configuration, integration, and support for industrial automation projects.</li><li>Serve as a technical lead for <strong>SCADA/DCS migrations</strong>, including platform modernization to <strong>Rockwell PlantPAx</strong>.</li><li>Support project lifecycle activities including requirements gathering, design reviews, programming, testing, commissioning, and startup.</li><li>Develop and implement control strategies, HMI/SCADA graphics, alarms, and system interfaces within the PlantPAx environment.</li><li>Collaborate with operations, engineering, integrators, and project teams to ensure successful delivery and startup of automation projects.</li><li>Troubleshoot and optimize control systems to improve reliability, performance, and maintainability.</li><li>Create and maintain system documentation, functional descriptions, test plans, and startup/commissioning records.</li><li>Provide leadership and guidance to analysts, engineers, and technicians on control systems best practices.</li></ul><p><br></p>
<p>We are seeking a Principal Platform Engineer to help shape the technical direction of our cloud platform capabilities and serve as a senior technical partner across engineering, security, and architecture. This role operates at an organizational level, driving platform strategy, leading cross-team technical initiatives, and strengthening our cloud security posture across an expanding AWS environment.</p><p>You will work closely with our Security team as an embedded partner on key platform security efforts, while also coordinating with another Principal Engineer on the Platform team to align and divide technical ownership. This is a highly cross-functional role, requiring strong collaboration with application teams, security, compliance, and architecture to ensure platform services and infrastructure effectively support the broader organization.</p><p><strong>Responsibilities:</strong></p><ul><li>Lead the design and continuous improvement of secure, scalable platform solutions in AWS environments.</li><li>Partner with engineering teams across the organization to drive broad technical initiatives and influence platform strategy.</li><li>Build and maintain infrastructure as code using Terraform to standardize deployments and improve operational consistency.</li><li>Develop and enhance platform tooling and automation using languages such as Java, Python, Go, or C#.</li><li>Strengthen cloud security controls by implementing and managing services such as Security Hub, GuardDuty, Config, CloudTrail, secrets management, and private networking patterns.</li><li>Support containerized workloads by improving Docker security practices and optimizing deployment patterns for services running on EC2, Fargate, and other managed platforms.</li><li>Advance CI/CD capabilities through orchestration and automation tools including GitHub Actions, Jenkins, CircleCI, or similar technologies.</li><li>Collaborate on secure software delivery practices, including source control standards, vulnerability scanning, and supply chain protection measures.</li><li>Contribute to agile delivery processes and provide technical leadership that helps teams execute complex platform initiatives effectively.</li></ul><p><br></p>
We are looking for a Platform Engineer to advance the reliability, security, and scalability of our engineering platform in Kalamazoo, Michigan. This position focuses on building a consistent developer experience by strengthening automation, deployment practices, infrastructure standards, and operational visibility. The ideal candidate will shape platform capabilities with a product mindset, enabling internal teams to deliver software more safely and efficiently while supporting enterprise growth and modern AI-enabled services.<br><br>Responsibilities:<br>• Define and evolve a platform strategy that improves consistency, resilience, and ease of use for internal engineering teams.<br>• Build and maintain CI/CD frameworks that support dependable delivery, stronger release controls, and reduced operational risk.<br>• Create and manage infrastructure as code solutions, including reusable Terraform components that promote standardization across environments.<br>• Embed security into platform workflows through automated guardrails such as secrets management, policy enforcement, encryption controls, and secure configuration practices.<br>• Develop release automation and progressive delivery approaches that improve deployment safety and accelerate recovery when issues arise.<br>• Establish observability capabilities across distributed services to enhance monitoring, troubleshooting, and service performance insights.<br>• Partner with engineering leaders, developers, and external vendors to implement platform standards and communicate technical tradeoffs clearly.<br>• Improve cloud operations by strengthening identity and access controls, governance practices, and runtime visibility across AWS-based environments.
<p>Robert half is seeking a Materials Manager to oversee inventory strategy, purchasing activity, and receiving operations for a manufacturing environment client in the Philadelphia area. This role works closely with production, operations, and finance teams to keep materials flowing efficiently, maintain accurate data, and support reliable customer delivery. The ideal candidate brings strong analytical judgment, hands-on procurement experience, and the ability to improve inventory control processes while guiding day-to-day warehouse receiving activity.</p><p><br></p><p>Responsibilities:</p><ul><li>Direct material planning activities to maintain appropriate stock levels for raw materials, components, packaging, and operational supplies.</li><li>Evaluate demand, lead times, reorder settings, and safety stock levels to support efficient replenishment decisions.</li><li>Prepare and manage purchase orders from issuance through delivery, receipt confirmation, and final reconciliation.</li><li>Act as a primary resource for the company ERP platform, supporting accurate transaction processing and effective system use.</li><li>Maintain reliable purchasing, inventory, receiving, and supplier records to preserve data accuracy across the operation.</li><li>Lead daily receiving functions and provide supervision and direction to one team member.</li><li>Organize cycle counts, audit activity, and stock adjustments to strengthen inventory accuracy and control.</li></ul><p><br></p>
We are looking for a skilled Software Developer to join our dynamic team in Jacksonville, Florida. In this role, you will design, develop, and maintain software solutions that meet business needs while ensuring high-quality performance and reliability. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects.<br><br>Responsibilities:<br>• Develop and maintain software applications using .NET, C#, ASP.NET, and other relevant frameworks.<br>• Collaborate with cross-functional teams to gather requirements and design technical solutions.<br>• Write clean, efficient, and well-documented code to ensure high performance and scalability.<br>• Troubleshoot and resolve software issues to maintain system stability.<br>• Conduct testing and debugging to ensure functionality meets specifications.<br>• Stay updated with emerging technologies and apply them to improve software development processes.<br>• Participate in code reviews to ensure adherence to best practices and standards.<br>• Create technical documentation to support development processes and user understanding.<br>• Optimize application performance by analyzing and addressing bottlenecks.<br>• Provide ongoing support and maintenance for existing software systems.
<p><strong>Job Title</strong></p><p>Manager, Data & Machine Learning Platform Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans.</p><p><br></p><p><strong>Role Summary</strong></p><p>This Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</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>
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization.<br><br>Responsibilities:<br>• Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance.<br>• Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows.<br>• Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets.<br>• Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards.<br>• Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements.<br>• Participate in coding reviews and testing processes to ensure high-quality deliverables.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards.<br>• Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency.<br><br>Responsibilities:<br>• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.<br>• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.<br>• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.<br>• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.<br>• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.<br>• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.<br>• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.<br>• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.<br>• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.<br>• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
<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>Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.</p><p>• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.</p><p>• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.</p><p>• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.</p><p>• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.</p><p>• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.</p><p>• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.</p><p>• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.</p>
We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications.<br>• Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes.<br>• Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights.<br>• Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI.<br>• Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support.<br>• Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments.<br>• Contribute to API development, platform reliability, and performance optimization across data and application ecosystems.<br>• Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.
<p>We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation.</p><p><br></p><p>Responsibilities:</p><p>• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.</p><p>• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.</p><p>• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.</p><p>• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.</p><p>• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.</p><p>• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.</p><p>• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.</p><p>• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.</p><p>• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.</p>
We are looking for a skilled Software Developer to join our team in Jacksonville, Florida. In this role, you will design, develop, and maintain robust software solutions while collaborating with cross-functional teams to deliver high-quality applications. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects.<br><br>Responsibilities:<br>• Develop and maintain software applications using .NET and C# programming languages.<br>• Collaborate with team members to design and implement efficient solutions for business requirements.<br>• Write clean, scalable, and maintainable code following best practices and coding standards.<br>• Troubleshoot and debug software issues to ensure optimal performance and reliability.<br>• Participate in code reviews to maintain high-quality standards and improve team collaboration.<br>• Work with ASP.NET to build dynamic and responsive web applications.<br>• Utilize JavaScript for front-end development and interactive features.<br>• Stay updated on the latest advancements in the .NET Framework and related technologies.<br>• Provide technical support and guidance to team members as needed.<br>• Test software solutions to ensure functionality, security, and user experience.
<p><strong>Location:</strong> Hybrid — <em>2 days per month on-site in New Hampshire</em></p><p><strong>Employment Type:</strong> Full-Time</p><p><strong>About the Role</strong></p><p>We’re seeking a talented <strong>Software Engineer</strong> with deep experience in <strong>Oracle APEX</strong> and <strong>PL/SQL. </strong>You should also have a strong background integrating third-party applications like <strong>Salesforce</strong>. This role is ideal for someone who enjoys collaborating with cross-functional teams, designing scalable solutions, and enhancing business systems through thoughtful engineering and integrations.</p><p><br></p><p>As part of our team, you’ll play a key role in building and maintaining applications that drive critical business workflows. You’ll leverage your Oracle APEX expertise to architect solutions and your integration experience to ensure smooth data flows between platforms.</p><p>This is a <strong>hybrid position</strong>, requiring <strong>two days per month on-site in New Hampshire</strong> for team collaboration, planning, or project workshops.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain applications using <strong>Oracle Application Express (APEX)</strong>.</li><li>Build, optimize, and troubleshoot <strong>integrations with third-party systems</strong>, including Salesforce and other enterprise platforms.</li><li>Develop APIs, data pipelines, and middleware solutions to support seamless cross-system communication.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Ensure application performance, security, and reliability through best practices.</li><li>Participate in code reviews, testing, deployment, and documentation of software solutions.</li><li>Support ongoing enhancements, bug fixes, and system improvements.</li></ul><p><strong>Required Qualifications</strong></p><ul><li><strong>Hands-on experience with Oracle APEX</strong> development.</li><li>Proven experience designing and implementing <strong>Salesforce integrations</strong> (REST/SOAP APIs, middleware tools, or direct platform integration).</li><li>Strong proficiency with <strong>SQL, PL/SQL</strong>, and Oracle database structures.</li><li>Experience working with APIs, integration frameworks, and data transformation workflows.</li><li>Solid understanding of software development best practices, including version control, testing, and documentation.</li><li>Excellent analytical, troubleshooting, and communication skills.</li><li>Ability to work in a hybrid environment and be on-site in New Hampshire <strong>twice per month</strong>.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience with additional integration platforms (e.g., MuleSoft, Boomi, Workato).</li><li>Background working in enterprise environments or supporting mission-critical systems.</li><li>Familiarity with Agile methodologies.</li><li>Knowledge of secure coding practices and data governance.</li></ul>
<p>We are looking for a Software Engineer who can translate business needs into reliable technical solutions while collaborating closely with cross-functional teams. The role centers on building, enhancing, and supporting applications and integrations that improve operational efficiency in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Interpret technical specifications and convert them into well-structured, maintainable software solutions with minimal supervision.</p><p>• Partner with business analysts and subject matter experts to refine requirements, confirm priorities, and define the boundaries of assigned work.</p><p>• Develop application code, automation scripts, and deployment-related components to support new features and system enhancements.</p><p>• Apply established coding practices and engineering standards to produce clean, consistent, and dependable software.</p><p>• Work closely with quality assurance teams to review deliverables, resolve defects, and confirm that completed work meets expectations.</p><p>• Troubleshoot application issues, perform root-cause analysis, and implement effective fixes to improve system stability.</p><p>• Create and maintain unit tests to strengthen code quality and reduce regression risk.</p><p>• Contribute to integration-related development efforts, including MuleSoft-based solutions where needed.</p>
We are looking for a skilled Software Engineer to join our dynamic team in Lafayette, Louisiana. In this role, you will contribute to the design, development, and deployment of innovative software solutions, focusing either on ServiceNow module development or full-stack engineering. This position offers the flexibility of working onsite or remotely if based in Louisiana.<br><br>Responsibilities:<br>• Develop and customize applications and modules within the ServiceNow platform.<br>• Design and implement backend and full-stack features using Java, Python, and PostgreSQL.<br>• Ensure software scalability, reliability, and performance through clean coding practices and automated testing.<br>• Enhance development workflows by incorporating automation tools and DevOps methodologies.<br>• Collaborate with cross-functional teams, including product management and QA, to achieve roadmap goals.<br>• Foster coding, testing, and architectural best practices to maintain high engineering standards.<br>• Address performance issues and improve service reliability to meet customer expectations.<br>• Streamline development processes by introducing tools for onboarding and automation.<br>• Actively contribute to the integration of scalable architecture into enterprise-level solutions.<br>• Monitor and optimize software to reduce testing instability and system escalations.
<p>Robert Half is seeking a Contract C# Developer to join our client's development team. As a Contract C# Developer, you will play a pivotal role in designing, developing, and maintaining software applications using the C# programming language. This contract position offers an exciting opportunity to work on diverse projects with a reputable organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Software Development:</strong> Design, code, test, debug, and document software applications using C# and associated technologies to meet project requirements.</li><li><strong>Application Enhancement:</strong> Maintain and enhance existing C# applications by identifying areas for improvement and implementing necessary updates.</li><li><strong>Collaboration:</strong> Collaborate with cross-functional teams to gather requirements, analyze needs, and develop scalable and efficient software solutions.</li><li><strong>Database Integration:</strong> Develop and optimize database-related functionalities within applications using SQL Server, MySQL, or other database systems.</li><li><strong>Front-End Development:</strong> Utilize front-end technologies like HTML, CSS, JavaScript, and related frameworks/libraries to develop user interfaces for applications.</li><li><strong>Code Reviews and Testing:</strong> Conduct code reviews, perform unit testing, and ensure code quality, performance, and adherence to coding standards.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for developed applications, including system designs and user manuals.</li><li><strong>Troubleshooting and Support:</strong> Provide technical support and troubleshooting assistance for developed applications to ensure smooth operation and user satisfaction.</li></ol><p><br></p>