Senior Full-stack Engineer, Applied AI

Seeking a Senior Full-stack Engineer, Applied AI to develop AI solutions, requiring 5+ years of experience with Ruby on Rails, MySQL/Postgresql, ReactJS, and proficiency in AI development languages.

About the role

The Applied AI team at Circle is at the forefront of leveraging AI to drive innovation across our company.

We're looking for a Senior Full-stack Engineer, Applied AI, to help drive the development of AI solutions that enhance user experiences across our platform, both internally and externally.

If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to transformative AI applications, this role is for you.

What you'll be doing

Ship full-stack AI projects end to end - exciting projects such as AI Agents, Retrieval-Augmented Generation (RAG), Structured Extraction, internal tooling for customer-facing teams, and build infrastructure for LLM inference.
Help guide the end-to-end architecture and technical strategy for AI solutions.
Improve processes, tools, and systems to scale AI solutions across Circle.
Optimize AI infrastructure for performance, reliability, and cost-efficiency.
Help us stay up-to-date with the cutting-edge AI research, techniques, and tools.

What you'll need to be successful

5+ years experience working as a full-stack engineer on complex web applications.
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.
Strong proficiency in at least one programming language commonly used for AI development (Python, JavaScript, TypeScript).
You have deployed at least one AI Agent to production, with a deep understanding of the entire development lifecycle — from initial concept to final deployment with customer feedback loops.
Hands-on experience with AI frameworks and tools, such as OpenAI, Anthropic, Hugging Face, LangChain, and vector databases.
Strong understanding of NLP, ML, and LLM fundamentals - including modern LLM technologies, RAG, and prompt engineering techniques.
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.

Bonus points

You have contributed to open-source AI/ML projects.

$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.

About the role

The Applied AI team at Circle is at the forefront of leveraging AI to drive innovation across our company.

We're looking for a Senior Full-stack Engineer, Applied AI, to help drive the development of AI solutions that enhance user experiences across our platform, both internally and externally.

If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to transformative AI applications, this role is for you.

What you'll be doing

Ship full-stack AI projects end to end - exciting projects such as AI Agents, Retrieval-Augmented Generation (RAG), Structured Extraction, internal tooling for customer-facing teams, and build infrastructure for LLM inference.

Help guide the end-to-end architecture and technical strategy for AI solutions.

Improve processes, tools, and systems to scale AI solutions across Circle.

Optimize AI infrastructure for performance, reliability, and cost-efficiency.

Help us stay up-to-date with the cutting-edge AI research, techniques, and tools.

What you'll need to be successful

5+ years experience working as a full-stack engineer on complex web applications.

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.

Strong proficiency in at least one programming language commonly used for AI development (Python, JavaScript, TypeScript).

You have deployed at least one AI Agent to production, with a deep understanding of the entire development lifecycle — from initial concept to final deployment with customer feedback loops.

Hands-on experience with AI frameworks and tools, such as OpenAI, Anthropic, Hugging Face, LangChain, and vector databases.

Strong understanding of NLP, ML, and LLM fundamentals - including modern LLM technologies, RAG, and prompt engineering techniques.

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.