<p>We are looking for an experienced Software Engineer to support the design, development, and ongoing enhancement of business applications in Martinez, California. This Long-term Contract Software Engineerposition is ideal for someone who can manage the full development lifecycle, collaborate with stakeholders, and deliver reliable web-based and integrated software solutions. The Software Engineerrole includes hands-on programming, technical analysis, testing, deployment, and post-release support across a range of platforms and technologies.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain web applications, desktop-style client applications, APIs, reports, and data exchange solutions that support business operations.</p><p>• Partner with stakeholders to define needs, translate functional goals into technical plans, and provide effort estimates and delivery timelines.</p><p>• Oversee assigned development work from planning through release, including task tracking, technical documentation, testing coordination, and deployment activities.</p><p>• Develop and support software using technologies such as C#, VB.NET, ASP.NET, JavaScript, HTML, CSS, and related web development frameworks.</p><p>• Create and maintain system integrations between third-party SaaS platforms and custom or vendor-supported applications.</p><p>• Produce data extracts and reporting solutions, including work related to SQL Server Reporting Services and other reporting tools.</p><p>• Participate in code reviews, validate application quality through testing, and resolve issues identified during development and production support.</p><p>• Contribute to specialized platform development efforts such as ServiceNow applications, modules, implementations, and workflow enhancements.</p><p>• Support advanced solution delivery in areas such as API development, provider directory-related integrations, and the use of AI within applications and business processes.</p>
<p>We are looking for a Sr. Systems Engineer to support and enhance a Microsoft-focused cloud environment in Martinez, California. This Long-term Systems Engineer Contract position will play a key role in strengthening Microsoft 365 services, device management, identity administration, and cloud-based automation across the organization. The ideal Systems Engineer candidate brings strong technical depth across Azure, Intune, Entra ID, and the Power Platform, along with the ability to resolve complex issues and guide broader IT efforts. This Systems Engineer role is an onsite role out of Martinez, Ca.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the performance, security, and day-to-day administration of Microsoft 365 applications, including Exchange Online, SharePoint Online, Teams, and OneDrive.</p><p>• Create and refine Intune configurations for endpoint management, compliance enforcement, and software deployment across supported devices.</p><p>• Administer identity and access controls within Entra ID, including authentication methods, privileged access workflows, conditional access, and hybrid identity support.</p><p>• Support the design, maintenance, and troubleshooting of Azure-based services that underpin the organization's cloud infrastructure.</p><p>• Develop business-focused solutions using Power Apps, Power Automate, and Power BI to improve reporting and streamline operational processes.</p><p>• Investigate high-severity incidents, perform root-cause analysis, and implement durable fixes across Microsoft 365 and Azure platforms.</p><p>• Build and maintain automation using PowerShell and Microsoft Graph integrations to reduce manual administrative effort and improve consistency.</p><p>• Produce and update technical documentation covering architecture, configurations, operational procedures, and support standards.</p><p>• Assess emerging Microsoft capabilities and licensing updates, then provide recommendations on adoption, governance, and practical use.</p><p>• Provide technical mentorship to less experienced team members and collaborate with security, compliance, and IT partners on audits, controls, and risk reduction.</p>
<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>The System Engineer II supports the reliability, security, availability, and continuous improvement of enterprise cloud infrastructure and platform services. This role assists with Azure and/or AWS operations, cloud solution design, Infrastructure as Code (IaC), and the deployment and operational support of AI services in Azure, including Microsoft Foundry. The position works closely with project managers, business stakeholders, application teams, and senior engineers to deliver scalable, secure, and well-documented technology solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>Support daily operations, monitoring, maintenance, troubleshooting, and reliability for Azure and/or AWS environments.</p><p>Assist with the design, deployment, configuration, patching, and optimization of cloud infrastructure and platform services.</p><p>Develop and maintain Infrastructure as Code using Azure Bicep, Azure CLI, or PowerShell to enable repeatable and secure deployments.</p><p>Provision and support Azure AI services, including Microsoft Foundry, through environment setup, access management, monitoring, and documentation.</p><p>Partner with business and technical teams to gather requirements and deliver cloud-based solutions.</p><p>Create and maintain technical documentation, runbooks, standards, and operational procedures.</p><p>Participate in change management, production readiness, incident response, and availability management processes.</p><p>Identify automation opportunities to improve efficiency and reduce manual effort.</p><p>Collaborate with senior engineers and architects on cloud standards, security practices, and platform enhancements.</p><p>Monitor cloud costs and recommend optimization opportunities.</p><p>Manage monitoring and observability tools such as Azure Monitor, Application Insights, and CloudWatch.</p><p>Support security patching, vulnerability remediation, and compliance controls.</p><p>Provide technical support and communicate effectively with both technical and non-technical stakeholders.</p>
<p><strong>Agent Platform Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p><strong>Data & Knowledge Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
We are looking for a Web Developer to support the design, development, and ongoing enhancement of business-critical applications in Martinez, California. This Long-term Contract position is ideal for someone who can balance hands-on programming with analysis, stakeholder collaboration, and end-to-end delivery across web solutions, integrations, reports, and APIs. The role offers the opportunity to work across multiple technologies while contributing to reliable, scalable tools that support day-to-day operations.<br><br>Responsibilities:<br>• Build, enhance, and maintain web-based and desktop-style applications using modern and legacy development technologies, including Microsoft-focused programming frameworks.<br>• Lead work through the full solution lifecycle by clarifying business needs, translating requirements into technical plans, estimating effort, and delivering completed features.<br>• Collaborate with business partners, technical teams, and vendors to define priorities, communicate progress, and ensure solutions align with operational goals.<br>• Develop and support custom system integrations, including connections between third-party SaaS platforms, internal applications, and external API services such as provider directory interfaces.<br>• Produce data extracts, operational reports, and application programming interfaces that improve access to information and streamline business processes.<br>• Perform testing, troubleshooting, code review, deployment, and post-release support to maintain application quality and stability.<br>• Create and maintain technical documentation, task breakdowns, and implementation details for new functionality and system updates.<br>• Contribute to development efforts within platforms such as ServiceNow and help incorporate automation or AI-driven capabilities into business applications and workflows.
<p>We are looking for a Software Developer to join a team in California on a long-term contract assignment. This Software Developer role is ideal for a hands-on, detail-oriented individual who can build and support full stack applications while contributing to reporting and analytics solutions. The Software Developer position calls for someone who combines strong technical depth with sound judgment, clear communication, and a collaborative approach to solving business and technology challenges.</p><p><br></p><p>Responsibilities:</p><p>• Create and enhance full stack software solutions using C# and the .NET ecosystem, delivering reliable functionality for both new development and ongoing improvements.</p><p>• Develop secure, scalable backend components, including RESTful APIs, business logic, and integrations that support enterprise application needs.</p><p>• Build responsive user interfaces with web technologies such as ASP.NET MVC, Razor, JavaScript, and jQuery to provide a smooth user experience.</p><p>• Maintain and optimize existing applications by investigating defects, resolving performance issues, and applying updates that improve stability and usability.</p><p>• Execute comprehensive testing and debugging activities to confirm application quality, security, and dependable performance across environments.</p><p>• Manage code movement across cloud and on-premises environments, helping ensure consistent deployments and effective release practices.</p><p>• Design and support database objects, queries, and stored procedures in Microsoft SQL Server to enable efficient data processing and application performance.</p><p>• Produce and maintain reports, dashboards, and analytics outputs, while validating data accuracy and translating business reporting needs into practical solutions.</p><p>• Partner with stakeholders, business users, and technical team members to gather requirements, shape solutions, and provide support for third-party vendor applications.</p><p>• Offer technical guidance to less experienced developers and contribute to a team culture focused on knowledge sharing and continuous improvement.</p>