Senior Full Stack AI Engineer

About this role

Job Description
Summary:
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.

General Information:
This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions.

Tasks and deliverables:

• 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

Engagement highlights:

• Opportunity to build impactful AI-powered products used in real production environments

• High ownership across architecture, implementation, and delivery

• Role suited for engineers who enjoy both product thinking and technical depth

• Chance to shape scalable systems early and influence long-term engineering quality

• Fast-paced environment with a strong emphasis on execution and practical outcomes

• Meaningful work at the intersection of full stack engineering and applied AI

Requirements
Required Experience:

• 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