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Why this grade This listing scored 30/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Headquarters: Remote
URL: https://www.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.
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
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: https://weworkremotely.com/remote-jobs/toptal-senior-full-stack-ai-engineer
Apply for this role Opens weworkremotely.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 25 Jul 2026 We Work Remotely first sighting
- 25 Jul 2026 Company careers page employer ATS also listed the same day
Seen on 2 boards over 76 days.