Senior Full-Stack Software Engineer, Applied AI
circleso • Remote
Posted: February 6, 2026
Job Description
About the role
The Applied AI team at Circle is at the forefront of leveraging AI to drive innovation for our customers through transformative applications of large language models (LLMs).
We're looking for a strong full-stack engineer who is proficient in web frameworks, backend development, and infrastructure to spearhead the development of full-stack AI solutions across Circle. You will work on exciting projects such as AI agents, Retrieval-Augmented Generation, AI evaluations and observability, and building infrastructure for LLM inference.
While deep AI specialization or expertise isn't required, we care about hands-on experience building AI features. Beyond that, we’re looking for a strong experimentation mindset. If you're excited about rapidly testing ideas, running A/B experiments, and iterating on real production use cases of LLMs, this role is for you.
The Applied AI team is composed of different backgrounds. Some team members joined with deep Rails experience and solid AI fundamentals, while other team members joined with deep AI experience and ramped up on Rails. Either path works as long as you bring hands-on experience with both Rails and AI, and have genuine curiosity to grow.
What you'll be doing
- Ship full-stack AI projects end-to-end on a product built in Ruby on Rails backend and React frontend.
- Design and run experiments (including A/B tests, AI evaluations, or others) to validate AI features, measure impact, and guide iteration.
- Build and integrate components for AI infrastructure and optimize them for performance and reliability to support production-level inferencing.
- Improve processes, tools, and systems to scale AI features into production-ready solutions.
- Help us stay up-to-date with the cutting-edge AI research, techniques, and tools.
- Work closely with Circle's leaders and designers throughout the feature design process.
- Foster a bias for action by prioritizing speed of iteration, experimentation, and learning, while maintaining high standards of code quality and user experience.
What you'll need to be successful
- 6+ years experience working as a full-stack engineer on high-traffic production applications. You've dealt with the challenges that come with scale — query optimization, careful migrations, performance bottlenecks.
- Strong proficiency in Ruby on Rails, MySQL / Postgresql, ReactJS. Familiarity with both frontend and backend is necessary, but a high degree of proficiency in both is not a requirement.
- Hands-on experience building AI features in production — whether RAG systems, AI agents, or LLM-powered tools. You've shipped at least one real AI use case, not just prototypes.
- Strong experimentation mindset — you’re comfortable designing and running A/B tests, measuring results, and iterating quickly to discover what works and what doesn’t.
- A desire to work in an environment which values speed of iteration and individual autonomy, while also embracing personal accountability and the ability to collaborate effectively as part of a dynamic team.
- Comfortable in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it.
- Strong alignment with our values, find our values on our career page if you haven’t read up on them yet.
- You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5.
$130,000 - $140,000 USD per year
The cash compensation range shown is a starting point. In addition to equity, benefits and perks, your cash compensation is subject to an annual review and increase on a once per year basis.
Additional Content
About the role
The Applied AI team at Circle is at the forefront of leveraging AI to drive innovation for our customers through transformative applications of large language models (LLMs).
We're looking for a strong full-stack engineer who is proficient in web frameworks, backend development, and infrastructure to spearhead the development of full-stack AI solutions across Circle. You will work on exciting projects such as AI agents, Retrieval-Augmented Generation, AI evaluations and observability, and building infrastructure for LLM inference.
While deep AI specialization or expertise isn't required, we care about hands-on experience building AI features. Beyond that, we’re looking for a strong experimentation mindset. If you're excited about rapidly testing ideas, running A/B experiments, and iterating on real production use cases of LLMs, this role is for you.
The Applied AI team is composed of different backgrounds. Some team members joined with deep Rails experience and solid AI fundamentals, while other team members joined with deep AI experience and ramped up on Rails. Either path works as long as you bring hands-on experience with both Rails and AI, and have genuine curiosity to grow.
What you'll be doing
- Ship full-stack AI projects end-to-end on a product built in Ruby on Rails backend and React frontend.
- Design and run experiments (including A/B tests, AI evaluations, or others) to validate AI features, measure impact, and guide iteration.
- Build and integrate components for AI infrastructure and optimize them for performance and reliability to support production-level inferencing.
- Improve processes, tools, and systems to scale AI features into production-ready solutions.
- Help us stay up-to-date with the cutting-edge AI research, techniques, and tools.
- Work closely with Circle's leaders and designers throughout the feature design process.
- Foster a bias for action by prioritizing speed of iteration, experimentation, and learning, while maintaining high standards of code quality and user experience.
What you'll need to be successful
- 6+ years experience working as a full-stack engineer on high-traffic production applications. You've dealt with the challenges that come with scale — query optimization, careful migrations, performance bottlenecks.
- Strong proficiency in Ruby on Rails, MySQL / Postgresql, ReactJS. Familiarity with both frontend and backend is necessary, but a high degree of proficiency in both is not a requirement.
- Hands-on experience building AI features in production — whether RAG systems, AI agents, or LLM-powered tools. You've shipped at least one real AI use case, not just prototypes.
- Strong experimentation mindset — you’re comfortable designing and running A/B tests, measuring results, and iterating quickly to discover what works and what doesn’t.
- A desire to work in an environment which values speed of iteration and individual autonomy, while also embracing personal accountability and the ability to collaborate effectively as part of a dynamic team.
- Comfortable in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it.
- Strong alignment with our values, find our values on our career page if you haven’t read up on them yet.
- You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5.
$130,000 - $140,000 USD per year
The cash compensation range shown is a starting point. In addition to equity, benefits and perks, your cash compensation is subject to an annual review and increase on a once per year basis.