onsite
Lead Full Stack AI Engineer - v2 Digital
AI Engineer
Lead the design and delivery of production‑grade AI applications, combining full‑stack development with React and Node.js and integrating machine‑learning models on cloud infrastructure.
About the role
Key Responsibilities
- Architect, develop, and launch end‑to‑end AI‑enabled web applications using React for the front end and Node.js for the back end.
- Integrate machine‑learning models (Python‑based) into production services, ensuring scalability, reliability, and low latency.
- Containerize services with Docker and orchestrate deployments on Kubernetes clusters, leveraging AWS cloud services.
- Mentor and guide a team of engineers, establishing best practices for code quality, testing, and CI/CD pipelines.
- Collaborate with data scientists, product owners, and stakeholders to translate business requirements into technical solutions.
Requirements
- 5+ years of professional experience in full‑stack development with strong proficiency in React and Node.js.
- Hands‑on experience building, deploying, and maintaining machine‑learning models in production (Python, TensorFlow/PyTorch preferred).
- Deep understanding of containerization (Docker) and orchestration (Kubernetes) on AWS or similar cloud platforms.
- Proven ability to lead technical teams, conduct code reviews, and enforce engineering standards.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
reactnodejspythonmachine learningdockerkubernetesaws