Senior Full Stack AI Engineer

We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability.

Location: Remote

Responsibilities

• Build end-to-end applications that incorporate generative AI capabilities into real user workflows
• Develop scalable backend services, APIs, and integrations using modern engineering practices
• Build responsive and maintainable frontend experiences using modern frameworks
• Design modular system architectures that support scalability, reliability, and long-term maintainability
• Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring
• Optimize prompt flows, data pipelines, and system interactions for consistency and performance
• Translate business requirements into technical solutions and make strong implementation trade-offs
• Own features from ideation through development, testing, deployment, and iteration
• Reuse and adapt proven solutions where appropriate to accelerate delivery
• Continuously improve product quality based on performance data, feedback, and operational learnings

Requirements

• Strong full stack engineering experience, ideally 5+ years
• Proficiency in backend development with technologies such as Node.js, Python, or similar
• Strong frontend experience with frameworks such as React or comparable modern tools
• Experience building and consuming APIs, working with databases, and deploying on cloud platforms
• Hands-on experience integrating generative AI into production applications
• Practical understanding of prompt engineering and AI system limitations, including failure modes and edge cases
• Proven ability to design systems that scale beyond MVP and remain maintainable over time
• Strong understanding of software architecture, system design, and engineering best practices
• Demonstrated experience shipping multiple production-grade products or platforms
• Ability to combine traditional software engineering discipline with modern AI-driven workflows
• Experience working independently with strong ownership and product mindset