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Softgic is seeking a Senior Full Stack AI Engineer with a strong software background to lead the design and delivery of production-ready AI-powered solutions. You will guide AI-generated development, review code, and own features from architecture through production, with a clear path toward Tech Lead.
In this role you will orchestrate AI tools like Claude Code, Cursor and GitHub Copilot, build data pipelines, work with CI/CD and cloud environments, and mentor developers as you take on
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.
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.
4–10 years of professional Full Stack Software Engineering experience.
1+ year of technical leadership or mentoring experience.
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.