Senior Software Engineer (AI-Native) - Circle Expansion

New

Within the US and CanadaFull-TimeSenior

Salary129000 - 192000 USD per year

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Job Details

5+ years of experience building high-quality, consumer-scale software products.
At least 1 year of hands-on experience prompting, evaluating, and building with LLMs.
Strong proficiency in mobile development (iOS or Android).
Web and backend experience (Java, Kubernetes, AWS) are valued alternatives.
Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
A track record of using AI tooling to multiply your own output — not just as autocomplete, but as a genuine development partner.
Strong communication and collaboration skills — you work well with product, design, and platform engineers.
A genuine excitement for defining what it means to be AI-Native — you’re not waiting for the playbook, you want to write it.
Empathy for the humans behind the product — an aging parent trying to stay independent, a parent tracking their pre-teen, a coach wrangling 20 families on game day.
Bachelor’s Degree in a Technical field, or equivalent experience.

Design and build high-quality features for aging parents, pre-teen wearable users, and community groups — experiences that are safe, intuitive, and genuinely useful.
Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
Help define and codify AI-Native engineering practices for the Circle Expansion team, establishing playbooks the broader org can adopt.
Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
Participate in on-call rotation and incident response.
Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
Support performance, reliability, and accessibility across the features you own.

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