Senior Full Stack AI Engineer

Job Overview

toptal. com/ 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.

Job Description

General Information: This is a senior engineering role for someone who can own product development from architecture through deployment.

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 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 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 To apply:

Key Responsibilities

• .toptal.com/ 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.
• The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users.
• 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 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 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 To apply:

Required Skills and Qualifications

• The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows.
• 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 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 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 To apply:

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Toptal is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.