Full Stack Engineer, Prompt Engineering, AI-Assisted Development

Job not on LinkedIn

đź•’ August 10

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

đźź  Senior

🧑‍💻 Full-stack Engineer

đź‘» Ghost score 33%

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🗣️🇪🇸 Spanish Required

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Logo of VALCE Talent Solutions

VALCE Talent Solutions

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

đź’Ľ Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

đź“‹ Description

• Leverage AI development tools and prompt engineering techniques to accelerate software development and improve delivery outcomes • Use tools such as GitHub Copilot, DROID, Claude, or similar platforms to increase engineering productivity • Create structured, context-rich prompts for code, technical designs, documentation, test cases, and troubleshooting recommendations • Analyze business requirements, decompose complex problems, generate solution approaches, and accelerate feature development • Navigate large codebases, identify defects, recommend enhancements, and accelerate onboarding to existing applications using AI tools • Support coding, testing, debugging, refactoring, code reviews, and documentation with AI-assisted development • Validate and refine AI-generated outputs against enterprise architecture, security, scalability, and coding standards • Transform concepts, prototypes, and business requirements into production-ready solutions • Balance AI-generated recommendations with software engineering best practices

🎯 Requirements

• Strong proficiency in leveraging AI tools and prompt engineering techniques • Effective use of AI development tools such as GitHub Copilot, DROID, Claude, or similar platforms • Ability to create structured, context-rich prompts • Ability to analyze business requirements and decompose complex problems • Ability to understand and navigate large codebases • Ability to validate AI-generated outputs against enterprise architecture, security, scalability, and coding standards • Sound software engineering judgment and adherence to engineering best practices

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