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Full Stack Engineer (UI focus, SQL, AI-ready)

QualizealMcKinney, TX🇺🇸United States

Why this role stands out

This mid-senior Full Stack Engineer role offers exciting growth potential by integrating AI-driven features into impactful business applications, leveraging your strong UI and SQL skills. You'll thrive in this position if you're eager to expand your expertise in cutting-edge AI technologies and contribute to a forward-thinking company. Apply today to shape the future of technology!

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationMcKinney, TX, United States
DockerMicroservicesNode.jsOracleSQLSQL ServerAWSAgileAngularAzureC#CSS.NETGitGitHub ActionsJavaJavaScriptJenkinsKubernetesLLMPostgreSQLPythonRESTReactTypeScript

Job description

Role : Full Stack Engineer (UI focus, SQL, AI-ready)

Experience: 8 to 10 years

Location: McKinney, TX.(Hybrid)

Hands-on Full Stack Engineer with strong front-end skills and solid SQL experience, who will build and enhance business applications. The right person with hands on experience with AI tools or APIs, or is clearly ready to move into AI-driven development. Over time, the role will take on more AI-enabled features.

Key responsibilities

  • Design, build and maintain responsive web applications across front end and back end
  • Build clean, reusable UI components with a strong focus on usability and performance
  • Write and tune SQL queries, stored procedures and scripts for reporting and application data
  • Build and consume REST APIs and integrate with internal and third-party services
  • Help add AI capabilities to applications, such as LLM integrations, chat assistants, document summarization and intelligent search
  • Work closely with business stakeholders, product owners and QA in an Agile team
  • Take part in code reviews, testing and deployments through CI/CD pipelines

Must-have skills

  • Strong front-end experience with React or Angular, plus JavaScript, TypeScript, HTML5 and CSS
  • Back-end development in .NET (C#), Java or Node.js
  • Strong SQL skills (SQL Server, Oracle or PostgreSQL), including complex queries, stored procedures and performance tuning
  • Experience building and integrating REST APIs
  • Working knowledge of Git and CI/CD tools (Azure DevOps, GitHub Actions or Jenkins)
  • Strong communication skills and comfort working directly with client stakeholders onsite

AI experience (required or clear transition path)

  • Hands-on with AI APIs or platforms such as OpenAI, Azure OpenAI, AWS Bedrock or Google Vertex AI, or
  • Clear evidence of moving into AI work, such as personal projects, certifications or internal POCs
  • Familiarity with prompt engineering, RAG patterns or vector databases is a strong plus
  • Experience using AI coding assistants (GitHub Copilot or similar) in day-to-day development

Nice to have

  • Insurance or financial services domain experience
  • Cloud experience (Azure or AWS)
  • Python for scripting or AI work
  • Exposure to microservices and containerization (Docker, Kubernetes)

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