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6 results for Rpa Engineer in Dallas, 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

Sr Data Engineer

Dallas, TX
onsite
Permanent / Full Time
140000 - 200000 USD / Yearly
We are looking for a Senior Data Engineer to help shape and expand a modern enterprise data ecosystem in Dallas, Texas. This role is ideal for a highly technical specialist who enjoys building scalable cloud-based data solutions, improving platform performance, and collaborating with both engineering and business leaders. The position offers the opportunity to contribute directly to lakehouse design, advanced pipeline development, and data initiatives that support analytics and emerging AI use cases. Responsibilities: • Architect and develop scalable data platforms using Azure Databricks, Spark, PySpark, Python, Delta Lake, and related big data technologies. • Create and maintain layered lakehouse data models across raw, refined, and curated environments to support enterprise reporting and analytics. • Lead the movement of legacy data assets into Azure-based cloud environments as part of broader platform modernization efforts. • Build, enhance, and monitor high-volume ETL and streaming workflows, notebooks, and distributed processing jobs for reliability and efficiency. • Integrate tools such as Azure Synapse Analytics and Azure Data Factory to support end-to-end data ingestion, transformation, and delivery. • Improve performance of large-scale data workloads by tuning Spark jobs, optimizing code, and applying engineering best practices. • Establish and follow modern software delivery standards through source control, Azure DevOps pipelines, CI/CD processes, and deployment automation. • Prepare and structure data for machine learning, generative AI, and MLOps initiatives, including feature creation and production-ready integration. • Work closely with implementation partners, architects, technical teams, business stakeholders, and senior leadership to align solutions with organizational goals. • Contribute hands-on engineering expertise while also helping guide technical design and platform architecture decisions.
2026-09-12T00:00:00Z

ML OPS AI ENGINEER II

Coppell, TX
onsite
Temporary / Contract
57.4655 - 66.539 USD / Hourly
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. Responsibilities: • Lead the end-to-end operationalization of machine learning models, moving solutions from experimentation into dependable production environments. • Develop and support ML infrastructure, automated pipelines, and deployment frameworks that improve reliability and reduce manual effort. • Create and manage containerized workloads using Docker and coordinate production services through Kubernetes. • Establish and maintain CI/CD processes for model training, packaging, testing, and release management. • Implement tools and standards for experiment tracking, feature lineage, and model version control to enable reproducibility. • Build monitoring solutions that surface system health, model behavior, and data drift, helping teams respond quickly to production issues. • Provision and optimize cloud and compute resources to support both training and inference workloads effectively. • Improve scalability, operational visibility, and cost efficiency across deployed AI services. • Partner with data scientists and ML engineers to simplify deployment pathways and align platform capabilities with model development needs.
2026-09-15T00:00:00Z

Generative AI Engineer

Dallas, TX
onsite
Temporary / Contract
65 - 78 USD / Hourly
Our client is seeking a Generative AI Engineer to design, build, and deploy AI-powered applications that improve business processes and user experiences. This role will focus on leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-based AI services to deliver scalable, production-ready solutions. POSITION TITLE: Generative AI EngineerLOCATION: Dallas, TX (Hybrid)SALARY: $130,000 - $160,000 RESPONSIBILITIES<ul><li>Design, develop, and deploy generative AI applications utilizing Large Language Models and modern AI frameworks.</li><li>Build AI copilots, chatbots, virtual assistants, and knowledge management solutions using Azure OpenAI and related technologies.</li><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures utilizing vector databases and enterprise data sources.</li><li>Integrate AI solutions with existing business applications, APIs, and cloud platforms.</li><li>Monitor, troubleshoot, and enhance AI application performance, accuracy, security, and scalability.</li></ul>
2026-09-09T00:00:00Z

Software Engineer

Plano, TX
onsite
Temporary to Hire
63.3365 - 73.337 USD / Hourly
We are looking for a Software Engineer to join a services team in Plano, Texas, in a contract capacity with the potential for a permanent role. This role focuses on building and supporting cloud-native applications that rely on scalable, event-driven microservices and modern engineering practices. The ideal candidate brings strong experience with distributed systems, cloud platforms, and collaborative delivery in a fast-moving environment. Responsibilities: • Create and enhance cloud-native microservices that support high availability, strong performance, and long-term scalability. • Develop event-driven application components and integrate messaging patterns through publish-and-subscribe architectures. • Build, package, and manage services with container technologies while supporting orchestration in Kubernetes environments. • Partner with DevOps and infrastructure teams to streamline deployments, strengthen CI/CD workflows, and improve production reliability. • Investigate and resolve issues affecting system responsiveness, uptime, and application stability across distributed services. • Work with cross-functional stakeholders to translate business needs into technical solutions and deliver well-designed software increments. • Participate in peer code reviews, share engineering best practices, and provide guidance to less experienced developers. • Contribute to production support efforts by diagnosing incidents and implementing sustainable fixes. • Evaluate tools, frameworks, and architectural approaches, offering clear technical rationale for design decisions. • Maintain awareness of emerging trends in cloud engineering, microservices, and software delivery practices.
2026-09-11T00:00:00Z

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.
2026-09-14T00:00:00Z