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5 results for Engineer in Fort Worth, TX

AI Engineer

Coppell, TX
onsite
Temporary / Contract
70 - 75 USD / Hourly
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. POSITION TITLE: AI EngineerLOCATION: Coppell, TX (Onsite 5 days)DURATION: 6-12 MonthsSALARY: $65-70/hour RESPONSIBILITIES<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>
2026-09-01T00:00:00Z

Systems Engineer

Fort Worth, TX
onsite
Permanent / Full Time
90000 - 100000 USD / Yearly
We are looking for an experienced Systems Engineer to join a dynamic energy organization in Fort Worth, Texas. This position supports a predominantly on-premises infrastructure that underpins essential corporate and field operations, requiring a well-rounded, detail-oriented individual who can navigate networking, systems administration, security, and user support. The ideal candidate brings a hands-on approach, strong technical judgment, and the ability to work effectively with a wide range of stakeholders in a fast-paced environment. Responsibilities: • Manage and resolve issues across Cisco-based network environments, including routing, switching, configuration updates, and failover-related events. • Oversee core Microsoft infrastructure services such as Active Directory, Group Policy, Entra ID, and Intune, ensuring reliable access and system performance. • Administer firewall rules, user access permissions, and infrastructure security settings while supporting policy adjustments and related controls. • Collaborate with office staff and field teams to troubleshoot connectivity, application, and platform issues that impact day-to-day operations. • Maintain and support primarily on-premises systems that serve critical business applications used in energy and field-based environments. • Contribute to vulnerability response efforts, compliance-related activities, access reviews, and formal change management practices. • Provide broad technical coverage across infrastructure domains to strengthen overall team support and continuity. • Work across networking, systems, security, enterprise applications, and end-user support in a versatile engineering capacity.
2026-09-01T00:00:00Z

Network Engineer

Irving, TX
onsite
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Network Engineer to support and enhance a large-scale enterprise network environment in Irving, Texas. This role focuses on designing resilient infrastructure, resolving advanced connectivity issues, and shaping technical standards that strengthen performance and reliability across multiple locations. The ideal candidate brings deep hands-on expertise in routing, switching, firewalls, wireless technologies, and cloud-connected networks, along with the ability to turn business needs into practical engineering solutions. Responsibilities: • Design, deploy, and maintain enterprise network solutions that improve stability, scalability, and overall service performance across distributed sites. • Investigate complex network incidents, identify root causes, and implement corrective actions to restore and strengthen operations. • Create technical designs, architecture documentation, and standardized procedures to support consistent network implementation and governance. • Assess new networking tools and platforms through testing, validation, and pilot activities before broader adoption. • Administer and optimize core technologies including routing, switching, wireless, firewalls, and software-defined networking components. • Establish and maintain configuration backup, change tracking, and version control practices for network devices and related systems. • Work closely with infrastructure, security, and application teams to deliver integrated solutions aligned with operational and business objectives. • Manage vendor and service provider relationships, including coordination for equipment, support services, and third-party technical engagements. • Contribute to infrastructure modernization efforts and support network integration activities tied to business expansion or organizational change.
2026-08-26T00:00:00Z

Data Engineer

Dallas, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making. Responsibilities: • Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments. • Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability. • Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases. • Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations. • Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights. • Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes. • Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.
2026-09-02T00:00:00Z

Computer Vision - AI Engineer

Coppell, TX
onsite
Temporary / Contract
57.4655 - 66.539 USD / Hourly
We are looking for a Computer Vision - AI Engineer to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments. Responsibilities: •Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis. •Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals. •Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance. •Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time. •Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions. •Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment. •Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications. •Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
2026-09-03T00:00:00Z