Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, build, and maintain scalable backend services in Java (Spring) and Python (Django/FastAPI). Implement REST/GraphQL APIs, optimize SQL and NoSQL databases, develop microservices, ensure security (OAuth2/JWT), write tests, improve performance, and collaborate with frontend and DevOps teams in Agile processes.

Build high-performance, real-time Angular frontends for AI-driven agent interfaces. Implement SSE/WebSockets streaming, complex state management with Signals/NgRx, visualizations of agent chain-of-thought, human-in-the-loop controls, performance optimizations, and collaborate with backend/AI engineers on API schemas.

Design intuitive, responsive web and mobile interfaces: create wireframes, prototypes, and high-fidelity mockups; build and maintain design systems; conduct user research and usability testing; ensure accessibility (WCAG) and brand consistency; collaborate with product managers and developers to implement user-centered solutions.

Build and maintain responsive, accessible, high-performance frontend applications using modern frameworks. Contribute to greenfield and legacy modernization, follow code quality best practices, leverage AI-assisted tools and LLM prompting, collaborate with product, design, and backend teams, and ensure reusable components, cross-browser compatibility, and performance optimization.

Design, build, and deploy agentic AI and multi-agent systems using LangChain/LangGraph and ADKs. Implement LLM orchestration, RAG pipelines, vector DBs, React-based AI interfaces, and production-grade infrastructure with observability, security, and optimization.

Lead discovery, ideation, and strategic creative direction for digital experiences. Facilitate workshops, define experience vision and storytelling frameworks, develop high-level concepts and brand expression across digital platforms, present to executives, and mentor design and content teams to ensure creative excellence.

Serve as a hands-on Scrum Master and agile coach to raise squad maturity, remove systemic impediments, improve backlog readiness and value delivery, foster psychological safety, drive continuous improvement using data, partner with Product Owners, and support scaling and consistency across multiple squads.

Design, build, and scale production Generative AI systems: multi-agent orchestration, advanced RAG with vector databases, LLM integration and fine-tuning, scalable FastAPI backends, Dockerized deployment, monitoring, and GenAI optimization for latency, cost, and reliability.

Lead Adobe Analytics architecture and MarTech ecosystem design, implement data layers and tagging across web and mobile, ensure QA and privacy compliance, enable reporting and audience activation, and drive cross-functional measurement and governance for personalization and optimization.

Design and scale end-to-end data pipelines and RAG architectures for LLM consumption: ETL/ELT, vector databases, chunking/embeddings, data cleaning/PII removal, metadata engineering, low-latency streaming, and evaluation/versioning to support agentic AI.