
51 - 200 employees
đŒ Consulting
đŁ Marketing
âïž SaaS
Consulting âą Marketing âą SaaS
Circle is an all-in-one community platform designed for creators, brands, and startups to build, engage, and monetize their communities. It integrates tools for discussions, events, courses, and membership management into a seamless experience under one customizable brand. Circle offers features such as live streaming, gamified rewards, member directories, and extensive integrations with existing tools, allowing users to create private spaces, automate workflows, and manage payments. This platform is ideal for building different types of communities including customer, course, and coaching groups, providing a space for collaboration, interaction, and growth.
đ„ 13 hours ago
đȘđș Europe â Remote
đ” $170k / year
â° Full Time
đ Senior
đ€ AI Engineer
đ» Ghost score 1%
Where this job comes from
Posted on Circle's careers page, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on Circle's site. Checked 2 hours ago.

51 - 200 employees
đŒ Consulting
đŁ Marketing
âïž SaaS
Consulting âą Marketing âą SaaS
Circle is an all-in-one community platform designed for creators, brands, and startups to build, engage, and monetize their communities. It integrates tools for discussions, events, courses, and membership management into a seamless experience under one customizable brand. Circle offers features such as live streaming, gamified rewards, member directories, and extensive integrations with existing tools, allowing users to create private spaces, automate workflows, and manage payments. This platform is ideal for building different types of communities including customer, course, and coaching groups, providing a space for collaboration, interaction, and growth.
âą Build and own evaluation infrastructure, including CI/CD pipelines, scorers, and datasets for Circleâs AI agents âą Diagnose failures across the agent pipeline, including planning, execution, tool selection, and tool trajectories âą Turn diagnostic findings into prototypes or priorities for AI Core engineering âą Establish annotation workflows and build AI-generated and simulated conversations for evaluation datasets âą Run structured experiments across prompts, models, and the agent harness âą Evaluate new and open-source models against production baselines âą Build frameworks for model-shift decisions and optimize cost and latency through model swaps, caching, and routing âą Lead and manage the AI Quality engineering team while remaining hands-on in code âą Set technical direction and manage day-to-day priorities âą Partner with AI Core engineering to validate quality improvements
âą 7+ years of experience building and shipping production software, ideally including LLM-powered agents that take real actions in a product âą Experience with complex, tool-using systems, including multiple tools, planning or orchestration, and sub-agents âą Comfortable in Ruby on Rails / Python or ready to pick them up quickly âą Proficiency in Python is a strong plus, especially for data and evaluation work âą Experience building evaluation or observability infrastructure for ML/AI systems âą Experience with evaluation frameworks like Braintrust, LangSmith, or similar âą Experience designing datasets, annotation workflows, or labeling pipelines for ML/AI evaluation âą Ability to learn quickly, experiment aggressively, and thrive in a highly dynamic environment âą Comfort working in a fast-paced environment with ambiguity âą Strong alignment with company values âą Proficient in English, spoken, written, and reading, at CEFR Level C2 / ILR Level 5
âą Equity in the company with ongoing refresh grants âą 35 days of paid time off each year âą Remote-only work with flexibility and autonomy âą Company retreats twice a year in incredible destinations around the world âą Benefits package supporting health, wellbeing, and professional growth
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