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

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Qualizeal

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

Pay: Not specified

Posted: 2 weeks ago

Location: McKinney, TX

Last Updated: 1 week ago

Hours: Full-Time

Expires: 11/24/2026

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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)