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You will be responsible for reviewing, evaluating, and annotating AI-generated content including text, images, and audio. Additionally, you will perform quality checks to ensure accuracy and provide feedback to improve annotation guidelines.
You will be responsible for auditing, evaluating, and annotating AI-generated text, images, audio, and video content. Additionally, you will perform quality checks to ensure accuracy and consistency while providing feedback to improve annotation guidelines.
Define and lead the AI validation strategy for LLMs, RAG systems, and agent-based workflows. Build automated evaluation pipelines and implement AI guardrails to ensure production-ready, safe, and reliable AI solutions.
You will be responsible for auditing, evaluating, and annotating AI-generated text, images, audio, and video content. Additionally, you will perform quality checks to ensure accuracy and consistency while providing feedback to improve annotation guidelines.
The QA Engineer will be responsible for creating comprehensive test plans and executing manual, automated, and API tests across the software development lifecycle. They will also document and track bugs while collaborating with cross-functional teams to ensure high-quality software delivery.
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The Insights & Analytics Strategist will operationalize customer data to drive actionable business insights and bridge the gap between technical data foundations and agency team decision-making. You will build repeatable analytical pipelines and collaborate with cross-functional teams to influence client outcomes and account health.
You will build and maintain responsive web interfaces using React while developing server-side logic and RESTful APIs with PHP. The role involves collaborating with cross-functional teams to design data structures and ensure reliable data flow across the full stack.
Design, build, and maintain scalable RESTful APIs and backend services using PHP. Collaborate with front-end engineers and internal teams to ensure high performance, security, and reliability of the trading platform.
The Growth Web Developer will bridge the gap between web engineering and performance marketing to build, optimize, and scale web experiences. Responsibilities include improving website performance, managing technical SEO, and maintaining marketing technology infrastructure.
The Regional Lead will provide technical leadership and strategic growth for rail projects, managing client relationships and project delivery across multiple regions. They will also mentor staff, oversee QA/QC procedures, and coordinate with public agencies and railroad operators.
The Senior Bridge Engineer will design, evaluate, and analyze highway bridges while preparing technical specifications and cost estimates. They will also coordinate with multi-disciplinary teams to deliver contract documents and build strong client relationships.
The Project Engineer will lead design efforts and manage rail projects from inception to completion while coordinating multidisciplinary teams. They are responsible for ensuring project compliance with regulations, implementing QA/QC procedures, and supporting the professional growth of junior staff.
The React Native Engineer will design, build, and maintain cross-platform mobile applications with a focus on offline-first workflows and native device integration. They will collaborate with cross-functional teams to ensure seamless data synchronization and high-performance user experiences for field-based professionals.
The Electrical Engineer will design low and medium voltage power distribution systems and perform complex electrical engineering calculations. They will also lead power system studies, conduct field inspections, and manage construction-related documentation like RFIs and shop drawings.
The Senior Project Engineer will perform engineering analysis and design for bridges, including new construction and rehabilitation projects. They will also provide technical guidance to the design team, manage project documentation, and assist with construction phase engineering and quality control.
The Senior Project Engineer will perform engineering analysis and design for bridges, including new construction and rehabilitation projects. They will also provide technical guidance to the design team, manage project documentation, and collaborate with construction services to ensure project quality and adherence to specifications.
You will design and build scalable backend storage mechanisms, APIs, and platform infrastructure to support complex data needs. You will also collaborate with product and analytics teams to manage the data lifecycle from ingestion to serving results for grid control interfaces.
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The IT Tech Lead will own and manage supply chain planning applications, ensuring they meet business requirements and remain in a validated state. They will act as the primary liaison between IT, business process owners, and vendors while overseeing system maintenance, upgrades, and issue resolution.
You will build and prototype supervised machine learning models to predict campaign delivery outcomes, replacing existing simulation engines. Additionally, you will partner with ML engineers to deploy these models at scale while ensuring they are interpretable for sales and media-planning stakeholders.
The Sr. Staff Engineer will perform research and technical analysis in chemical propulsion technology while providing subject matter expertise to government sponsors. They will also lead research initiatives, support technical subcommittees, and engage in strategic business development for the Energetics Research Group.
The Director of Data and Analytics is responsible for leading data engineering and analytics teams to ensure high-quality, consistent, and scalable data delivery. They define the operating model, establish technical standards, and collaborate with leadership to align data strategy with business objectives.
You will design, develop, and implement ServiceNow solutions to streamline IT operations and asset management processes. Additionally, you will collaborate with stakeholders to define requirements and perform system testing, debugging, and maintenance.
You will build and maintain internal AI infrastructure that connects LLMs and agentic workflows with engineering systems, data sources, and simulation tools. Additionally, you will develop evaluation frameworks, observability tools, and secure integration patterns to ensure reliable AI performance across the organization.
Develop and maintain applications in Mainframe environments while managing business logic in legacy systems. Ensure the stability and performance of batch and transactional processes through diagnostic analysis and optimization.
You will design, build, and maintain frontend features across Vue, Angular, and React codebases while collaborating with product and backend teams. You are also responsible for mentoring engineers and contributing to the evolution of the frontend architecture within a serverless AWS environment.
The Lead Instructor will deliver high-impact live sessions on Agentic AI and Machine Learning while providing 1:1 mentorship to experienced professionals. They are also responsible for owning the end-to-end curriculum development and driving thought leadership through masterclasses and technical content.
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You will be responsible for building and scaling AI-native platforms by developing both frontend and backend features. This includes integrating AI agents, managing RESTful APIs, and collaborating with product teams to translate complex requirements into scalable solutions.
The role involves designing, implementing, and managing cloud infrastructure within Microsoft Azure. Key focus areas include managing Azure Virtual Desktop environments and automating infrastructure provisioning using Terraform.
You will build and scale AI products by developing end-to-end features across a Next.js frontend and NestJS backend. This includes designing APIs, managing data models with Prisma, and integrating AI agents to enable real-time tool usage.
You will partner with the AI engineering team to design and implement agentic workflows and LLM-powered features. Additionally, you will integrate AI systems with internal data sources and deploy these features into production environments.
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