Senior Fullstack Applied AI Engineer

Mindera

20d•Hybrid

About The Position

At Mindera, we craft software with people we love. 💛 We're looking for a SENIOR FULLSTACK AI APPLIED ENGINEER to join our team! At Mindera, we believe in building software that improves lives. As a Senior Fullstack AI Applied Engineer, you will combine strong software engineering fundamentals with modern AI-assisted development practices to deliver high-quality software faster and more effectively. You will leverage AI coding assistants, agentic development workflows, and AI-powered engineering tools throughout the Software Development Life Cycle. You will work alongside product, engineering, and design teams to build scalable solutions while continuously improving development practices through the effective use of AI.

Requirements

At least 5 years of professional experience relevant for the role.
Relevant experience in React and Node.js.
Strong experience delivering software across the Software Development Life Cycle.
Experience building production-grade software applications.
Experience working within Agile product development teams.
Strong communication and technical collaboration skills.
Demonstrated experience using AI coding assistants in professional software development.
Experience using AI for code generation, refactoring, debugging, testing, documentation, and software design.
Familiarity with agentic development workflows and AI-powered engineering tools.
Experience creating and maintaining prompts, workflows, skills, agent instructions, or similar reusable AI assets.
Ability to critically evaluate and validate AI-generated outputs.
Experience designing workflows that improve confidence and trust in AI-generated outputs.
Understanding of validation techniques for AI-assisted development, including testing, specification-based verification, evaluation frameworks, and human-in-the-loop review processes.
Experience working with AI agents to execute multi-step development activities.

Responsibilities

AI-Assisted Software Development: Use AI coding assistants such as OpenAI Codex, Claude Code, Cursor, GitHub Copilot, or equivalent tools as part of daily development workflows. Apply AI-assisted approaches to software design, implementation, testing, debugging, refactoring, and documentation. Develop and maintain reusable prompts, workflows, skills, and agent instructions that improve engineering effectiveness and consistency. Use agentic development techniques to accelerate feature delivery while maintaining engineering quality standards. Contribute to the evolution of AI-enabled engineering practices across teams and projects.
Full Stack Development: Design, build, and maintain modern web applications across frontend and backend systems. Develop scalable APIs, services, and user interfaces using modern engineering practices. Contribute to architectural decisions and system design discussions. Ensure software solutions meet performance, security, reliability, and maintainability requirements. Collaborate with multidisciplinary teams to deliver high-quality customer experiences.
Quality, Trust & Engineering Excellence: Review and validate AI-generated code to ensure production readiness. Implement automated testing and quality assurance practices throughout the SDLC. Participate in code reviews and contribute to engineering standards and best practices. Design and implement mechanisms that increase trust in AI-generated outputs, including automated validation, testing strategies, specification conformance checks, evaluation frameworks, and feedback loops. Establish guardrails and verification workflows that ensure agent-generated code and artifacts meet functional, security, performance, and maintainability requirements. Evaluate the effectiveness, reliability, and quality of AI-assisted development workflows and continuously improve them. Contribute to the development of reliable engineering practices for agentic software development.
Collaboration: Work closely with Product Owners, Designers, QA Engineers, and other Software Engineers. Support the adoption of AI-enabled engineering practices across teams. Share knowledge, workflows, and best practices related to AI-assisted software development. Mentor other engineers on effective and responsible use of AI throughout the software development lifecycle.