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6 results for Engineer in Fort Worth, TX

Software Engineer

Grand Prairie, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an experienced Software Engineer to join a manufacturing organization in Grand Prairie, Texas. In this role, you will help create and enhance business-critical web applications and services, contributing to technical direction while delivering reliable, scalable solutions. The position offers the opportunity to work closely with product and cross-functional teams to translate business needs into effective software. You will play a key part in building high-quality systems and supporting strong engineering standards across the team. Responsibilities: • Design, develop, and enhance web-based applications and backend services using C#, .NET technologies, and modern front-end frameworks. • Guide architectural planning for complex software platforms and help shape technical decisions that support long-term scalability. • Manage the full feature lifecycle by clarifying requirements, estimating effort, building solutions, validating quality, and supporting releases. • Mentor fellow engineers by sharing technical knowledge, reviewing approaches, and encouraging strong development practices. • Produce readable, maintainable, and thoroughly tested code while identifying opportunities to improve application speed and system efficiency. • Collaborate with product leaders and cross-functional stakeholders to ensure technical deliverables align with operational and business objectives. • Investigate production issues, implement fixes, and participate in support coverage as needed to maintain application stability. • Promote effective engineering tools, development standards, and modern practices that improve software quality and team productivity.
2026-06-05T00:00:00Z

Infrastructure Engineer

Fort Worth, TX
onsite
Temporary to Hire
58 - 63 USD / Hourly
The Infrastructure Engineer is responsible for designing, implementing, and supporting enterprise network and infrastructure systems across a multi-building environment. This individual will serve as a hands-on technical resource, owning day-to-day network operations while also leading infrastructure upgrades and modernization efforts. The role requires a strong networking foundation combined with the ability to support systems, users, and ongoing projects in a small, fast-paced IT environment. Title: Infrastructure Engineer Location: Grand Prairie, TX Duration: 3 Month Contract to Hire Salary: 120k - 130k Responsibilities:<ul><li>Design, implement, and support LAN/WAN, VPN, wireless networks, and core infrastructure across multiple locations, including switches, routers, VLANs, and trunking</li><li>Troubleshoot and resolve network and connectivity issues, serving as the escalation point and primary responder for outages and performance problems</li><li>Manage and maintain network hardware and environments, including configuring switches, upgrading access points, and supporting infrastructure across multiple buildings</li><li>Support infrastructure projects such as wireless upgrades, security deployments, COLO environment setup, and migration from legacy systems to modern platforms</li><li>Provide hands-on support across IT operations, including end-user support, server configuration, virtualization support, and general infrastructure maintenance</li></ul>
2026-06-05T00:00:00Z

Artificial Intelligence (AI) Engineer

Grand Prairie, TX
remote
Temporary / Contract
79.1635 - 87 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes. Responsibilities: • Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms. • Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases. • Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions. • Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing. • Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models. • Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes. • Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions. • Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks. • Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
2026-06-10T00:00:00Z

Network Engineer

Arlington, TX
onsite
Temporary to Hire
34 - 39 USD / Hourly
Our client is seeking a Level 2 Network Engineer to support and enhance a multi-site network environment. This role is ideal for someone who has progressed beyond entry-level network support (L1) and is ready to take on more hands-on responsibilities with routing, switching, and troubleshooting. The position offers a mix of project work, operational support, and equipment deployment in a dynamic environment undergoing ongoing infrastructure upgrades.This individual will spend approximately half their time contributing to network-related projects, with the remaining time focused on troubleshooting, issue resolution, and preparing network equipment for deployment. The environment includes recent and ongoing initiatives such as SD-WAN implementation, wireless upgrades, and evolving Cisco-based infrastructure. POSITION: NETWORK ENGINEER LEVEL 2 (MID-LEVEL)LOCATION: ARLINGTON, TXDURATION: 3 MONTH CONTRACT TO PERMANENTSALARY: 75-80K Responsibilities:<ul><li>Configure, maintain, and troubleshoot routers, switches, VPN tunnels, and related network infrastructure across multiple locations</li><li>Diagnose and resolve connectivity issues, including port-level troubleshooting and traffic analysis</li><li>Support network projects such as hardware upgrades, SD-WAN enhancements, and wireless deployments</li><li>Monitor network performance and implement adjustments to improve reliability and efficiency</li><li>Deploy and stage network equipment for new site builds or replacements</li><li>Implement and maintain firewall rules, security controls, and firmware updates</li><li>Document configurations, network changes, and incident resolutions while communicating updates to stakeholders</li></ul>
2026-05-28T00:00:00Z

Software Engineer II

Coppell, TX
onsite
Temporary to Hire
49 - 54 USD / Hourly
We are looking for a Software Engineer II to join a collaborative delivery team building dependable, scalable applications that support meaningful business outcomes. This contract opportunity with permanent potential is based in Dallas, Texas, and is ideal for someone who enjoys contributing across the full software lifecycle, from design through production support. In this role, you will help create high-quality solutions, partner with peers across disciplines, and take shared responsibility for application performance and reliability in production. Responsibilities: • Partner with product, engineering, and other cross-functional teams to deliver software solutions that meet timelines, quality expectations, and business goals. • Contribute to technical planning by helping define approaches, estimate effort, break work into manageable tasks, and execute development activities effectively. • Develop well-structured, maintainable, and scalable code while following established engineering standards and sound development practices. • Use appropriate development frameworks, tools, and team processes to support efficient delivery and consistent implementation. • Assist with application and system design decisions while working closely with senior engineers on architecture and solution direction. • Monitor, troubleshoot, and resolve production issues within expected service timelines to help maintain application stability. • Participate in operational support activities, including incident response and scheduled on-call coverage. • Help identify underlying causes of production problems and contribute to corrective actions that reduce repeat incidents. • Support ongoing improvements in engineering workflows, system reliability, and the overall supportability of delivered applications.
2026-06-10T00:00:00Z

AI Architect

Coppell, TX
onsite
Permanent / Full Time
120000 - 195000 USD / Yearly
We are looking for an experienced AI Architect to shape and deliver enterprise AI capabilities that support global business operation. This position focuses on creating scalable architectures for generative AI, machine learning, intelligent automation, and advanced analytics while aligning technical strategy with business goals. The role will work closely with executives, IT leaders, and cross-functional teams to establish a practical AI roadmap and bring secure, production-ready solutions into day-to-day operations. Responsibilities:• Develop enterprise-wide AI architecture standards, reference models, and implementation guidelines to support consistent solution delivery across business functions.• Design and deploy scalable platforms for generative AI, agent-based systems, machine learning, and analytics that can operate effectively in a global environment.• Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.• Partner with senior stakeholders to identify high-impact opportunities where AI can improve operational performance, decision-making, and business outcomes.• Lead the architecture and rollout of AI-enabled assistants, knowledge tools, and automated workflows integrated with core enterprise applications and internal data sources.• Create robust API, microservices, and orchestration patterns that enable reliable integration of AI services with business platforms and custom solutions.• Build and refine retrieval-augmented generation solutions, vector-based search capabilities, prompt frameworks, and enterprise knowledge access models.• Work with data engineering and platform teams to implement scalable AI pipelines, MLOps and LLMOps practices, monitoring, and cloud-based deployment patterns across major cloud environments.• Evaluate emerging vendors, tools, and proof-of-concept solutions while guiding technical teams through architecture decisions, implementation challenges, and best practices.
2026-05-28T00:00:00Z