About this role
As a Full Stack AI Developer, you will build and deliver intelligent, AI-powered applications that bridge modern web development and advanced AI technologies. You will work across the full stack to integrate, optimize, and deploy AI solutions that solve real-world problems and scale in production environments.
Company Profile:
Our client is a US-based company that builds enterprise-grade, AI-powered marketing systems that help businesses grow online. By automating and optimizing digital marketing campaigns, they deliver strategies that once required large teams and six-figure budgets now accessible at a fraction of the cost.
The company focuses on driving measurable results such as increased leads, traffic, and sales, enabling clients to scale without the need for large in-house marketing teams.
This is a great opportunity for a Full Stack AI Developer to join a collaborative, growth-focused culture where impact matters, communication is open, and continuous learning is part of everyday work.
Duties and Responsibilities:
Architect & Implement: Develop and maintain robust, scalable full-stack applications with AI at their coreAI Integration: Use modern AI development tools and APIs (such as OpenAI, LangChain, or Pinecone) to build intelligent featuresCode Mastery: Maintain high standards of code quality through GitHub, participating in rigorous code reviews and collaborative version controlInnovate: Collaborate with cross-functional teams to brainstorm, prototype, and deploy new AI-driven productsOptimize: Refine existing projects to improve performance, responsiveness, and AI accuracyRequirements
At least 3 years of experience in Full Stack AI DevelopmentTechnical Versatility: Strong proficiency in both front-end (e.g., React, Vue, or Next.js) and back-end (e.g., Node.js, Python, or Go) technologiesAI Tooling: Hands-on experience with AI development frameworks and a deep understanding of how to integrate Large Language Models (LLMs) into production environmentsGitHub Fluency: Expert-level comfort with Git workflows, including branching, merging, and collaborative code editingProblem Solver: A natural curiosity for solving complex technical puzzles and the ability to learn new tools quicklyCommunication: The ability to explain technical AI concepts to non-technical stakeholders
Advantageous skills or nice-to-haves:
Experience with vector databases and prompt engineering.Knowledge of DevOps and deploying AI models to cloud environments (AWS, Azure, or GCP).A portfolio of personal AI projects or open-source contributions.