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Softgic

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1941 Senior Fullstack -Tech Leader AI

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Summary

Remote senior full-stack engineer role at Softgic: design and ship production AI-powered solutions using Python, JavaScript and React, orchestrating AI coding agents (Claude Code, Cursor, Copilot) and building LLM/RAG integrations, with a clear path toward a Tech Lead position.

This is a remote position.

We are looking for a Senior Full Stack AI Engineer with a strong software engineering background and hands-on experience using Generative AI and AI coding agents to build production-ready solutions.

This role is ideal for an experienced Full Stack Engineer who can design solutions, guide AI-generated development, review and improve AI-generated code, and take ownership of features from architecture through production.

The position has a clear path toward a Tech Lead role.

What You'll Do

  • Design and deliver scalable Full Stack solutions using Python, JavaScript and React.

  • Use and orchestrate AI development tools and agents such as Claude Code, Cursor and GitHub Copilot.

  • Review, validate and refactor AI-generated code before production.

  • Design reusable prompts, contexts and AI-assisted development workflows.

  • Build and integrate LLM, RAG and AI-powered solutions.

  • Design and supervise data pipelines and AI/ML integrations.

  • Define testing strategies including unit, integration and end-to-end testing.

  • Work with CI/CD, cloud environments and relational/non-relational databases.

  • Participate in architecture, security and technical decision-making.

  • Mentor developers and progressively assume Tech Lead responsibilities.



Requisitos

Must-Have Requirements

  • 4–10 years of professional Full Stack Software Engineering experience.

  • 1+ year of technical leadership or mentoring experience.

  • Advanced Python, JavaScript and React.

  • Hands-on experience using AI coding agents/tools in real software development workflows.

  • Professional experience with Generative AI, LLMs and RAG.

  • Experience with TensorFlow and/or PyTorch.

  • Knowledge of pandas and scikit-learn.

  • Experience with AWS, Azure or Google Cloud.

  • Experience with CI/CD and automated testing.

  • Strong knowledge of software architecture, design patterns and data structures.

  • Experience with relational and non-relational databases.

  • Strong Git knowledge.

  • Advanced English – written and spoken.



Skills

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