Top Tech Jobs & Startup Jobs in Charlotte, NC

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

Design, build, and maintain scalable web applications using React.js and Node.js with TypeScript. Collaborate with cross-functional teams to deliver features, optimize performance, ensure security, automate deployments with DevOps, write tests, and participate in code reviews.

As a DevOps Engineer, you will manage AWS infrastructure, CI/CD pipelines, monitoring systems, and implement security practices while automating tasks using Python/Bash.

As an Implementation Consultant, you'll design and deploy CRM solutions, project management systems, automation workflows, and AI applications while analyzing operations and engaging with law firm clients to resolve challenges and improve efficiency.

Build backend foundations for an agentic AI orchestration platform: design and implement APIs, orchestration layers, and scalable services integrating LLMs, vector databases, and observability. Implement CI/CD, testing, monitoring, and infrastructure-as-code; collaborate with Product and DevOps; produce clear architecture and documentation while ensuring security, performance, and reliability of AI-driven automation workflows.

As a Flow Engineer, you'll build and maintain features with Ruby on Rails and React, design data visualizations, and optimize workflows for healthcare operations.

The role involves designing and implementing server-side services, building data pipelines, and collaborating with frontend teams. Requires proficiency in Kotlin and/or Java, especially with Spring WebFlux, while improving system throughput and reliability.

As a Founding GTM Leader, you will develop and lead strategic revenue efforts, engage with technical and enterprise teams, and close enterprise deals while shaping the go-to-market strategy.

The Machine Learning Engineer will fine-tune and deploy Large Language Models, optimize ML models, maintain data pipelines, and collaborate on AI features.

Conduct security reviews and assessments for SAP applications, identify vulnerabilities, implement security patches, and ensure compliance with best practices.