Top Tech Jobs & Startup Jobs in Charlotte, NC

Administer and optimize Seismic LiveDocs, including templates, forms, variables, and content automation workflows. Lead migration from legacy integrations to Snowflake, validate data mappings, troubleshoot integration and document-generation issues, and maintain data integrity and document quality. Collaborate with product, data, architecture, and business teams to implement scalable solutions while improving governance, reliability, and operational efficiency in a sales enablement environment.

Leads delivery of production LLM and AI systems, including multi-provider integrations, RAG, vector databases, agents, MCP tool use, guardrails, evaluation, observability, latency optimization, and cost management. Establishes organizational AI engineering standards, troubleshoots critical features hands-on, manages offshore delivery, reviews designs and code, and reports risks and progress to engineering leadership.

Lead end-to-end product design for web and mobile, collaborating with PMs, engineers, and researchers. Conduct user research and testing, create wireframes, prototypes, and design systems, ensure accessibility and data-informed decisions, and support implementation to deliver scalable eCommerce experiences.

The Senior UX Designer will create user-centered wireframes, prototypes, and mockups; conduct research and usability testing; use data and AI tools to improve workflows; facilitate design workshops; communicate design decisions to stakeholders; document requirements; and collaborate with engineering on implementation. The role advocates for users, contributes to design standards and frameworks, and delivers intuitive end-to-end experiences.

Develop the product marketing strategy and narrative for a digital platform serving investment bankers. Create positioning, persona-based messaging, executive decks, one-pagers, demos, internal communications, and video direction. Translate complex AI and workflow capabilities into compelling adoption materials, synthesize competitive insights, define launch and pilot strategies, and align Product, Design, Engineering, AI, and leadership around a consistent story.

Lead planning, execution, and delivery of enterprise technology projects. Manage scope, timelines, budgets, resources, risks, vendors, stakeholders, and communications across Agile, Scrum, and Waterfall environments. Oversee software development, technology implementations, cloud transformation, application modernization, and concurrent project priorities while ensuring business and technology objectives are achieved.

Build and maintain production-grade full-stack applications across frontend, backend, cloud infrastructure, and deployment pipelines. Develop responsive React or similar frontend applications, TypeScript and Node.js backend services, RESTful APIs, and AWS cloud-native architectures. Design serverless and container-based solutions, implement Generative AI and RAG applications, and work with vector databases, embeddings, retrieval pipelines, model evaluation, and prompt engineering. Own projects from design through deployment with minimal oversight.

Design, develop, and scale backend services and agent orchestration workflows for an Agentic AI platform. Integrate LLMs and vector DBs, implement RAG pipelines, build tools/connectors, ensure CI/CD, monitoring, testing, and optimize performance for production AI deployments.

Develop and maintain Python backend services and AI platform components. Build agent orchestration workflows, integrate LLMs and RAG solutions, connect tools and enterprise systems, optimize performance, and create testing and evaluation frameworks for production-ready agentic AI deployments.

Leads QA strategy and a team of QA engineers while designing scalable Java, Selenium, and Cucumber automation frameworks. Integrates automated testing into CI/CD pipelines and validates AWS-hosted applications. Oversees functional, regression, integration, API, and end-to-end testing; defect management; quality metrics; test reviews; stakeholder reporting; and continuous improvement. Collaborates with development, DevOps, product, and architecture teams to identify quality risks and improve release quality.