A complete application in a minute — tailored resume and cover letter, ready to send.
Zohorecruit is seeking a Senior Full Stack AI Engineer in the United States to design, build and guide AI-powered solutions from architecture through production. You will work with generative AI, coding agents and data pipelines, and you will influence architectural decisions while mentoring junior engineers.
The role offers a clear path toward Tech Lead responsibilities and opportunities to shape testing, security and deployment practices across cloud environments.
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.