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Design and deliver scalable full-stack solutions while orchestrating AI development tools and agents. Supervise data pipelines, integrate AI/ML models, and mentor developers while assuming technical leadership responsibilities.
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.
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.
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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