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1941 Senior Fullstack -Tech Leader AI

Softgic · Remote

Weak hiring record · median 90 days open

8484

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 81% of this employer's openings are over 60 days old
  • No location stated

In its favour

  • Still listed on the employer's own board

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1941 Senior Fullstack -Tech Leader AI at Softgic. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

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