Full-Stack AI Engineer - Python, React and Next.js

Requirements

• 5+ years of professional software engineering experience
• Proven experience with React and Next.js in production environments
• Strong backend development skills (Python preferred)
• Solid understanding of relational and/or No
  
  SQL databases
• Experience with Git and collaborative development workflows
• Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines
• Experience implementing background workers and task queues (Celery, RQ, etc.)
• Proficiency with Redis for caching, pub/sub, or job queues
• Hands-on experience building and deploying AI applications in production environments
• Experience implementing RAG pipelines, AI agent orchestration, model fine-tuning, and performance monitoring
• Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety

Seeking a Full-Stack Engineer with 5+ years of experience in React/Next.js, Python, and AI systems to design and deploy AI agent infrastructure and features at scale.

The client is seeking a highly skilled Full-Stack AI Engineer with at least 5 years of professional experience. The ideal candidate has a strong background in building modern web applications, has experience in React/Next.js, experienced with backend development (Python preferred), and has hands-on exposure to infrastructure, Dev Ops, and AI system development.

This role will own and drive large portions of AI agent infrastructure, from designing and deploying multi-agent systems to integrating Retrieval-Augmented Generation (RAG) pipelines, model fine-tuning, and evaluation frameworks. Responsible for delivering AI-powered features into production at scale — ensuring they are performant, reliable, and secure — while also contributing across the stack, from frontend interfaces to backend APIs, databases, and deployment pipelines.

• Design, develop, and maintain frontend applications using React and Next.js.
• Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome).
• Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
• Ensure scalability, performance, and security across the stack.
• Implement CI/CD pipelines, automated testing, and monitoring solutions.
• Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure).
• Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
• Build real-world AI use cases by integrating fine-tuned models and large language model APIs into user-facing products.
• Create data pipelines for AI model training, evaluation, and continuous improvement.
• Mentor junior developers and promote engineering best practices.