Software Engineer, AI Products - MCP Manager
About The Position
Usercentrics is hiring a Software Engineer for its MCP Manager team, building a governance and management platform for Model Context Protocol (MCP). The product helps enterprises give AI agents access to business systems while maintaining visibility, security, and control over what those agents can access and do. The role focuses on developing customer-facing governance features such as gateway configuration, identity and access policies, and audit logging. Work is split evenly between a Vue.js front end and Python/Django and TypeScript back-end services running on Google Cloud Platform. The engineer will collaborate with the Product Manager, designer, and other engineers to take features from specification to production and will own the quality of shipped work. The position is part of a small, high-ownership team operating with a startup-like pace within a larger company. The engineer will help develop the product and the team's practices as enterprises move AI agents from experimentation into production.
Requirements
- At least 3 years of professional software engineering experience building and shipping production web applications.
- Strong proficiency in TypeScript and experience with a modern front-end framework.
- Experience building back-end services and APIs in Python.
- A solid understanding of relational databases, schema design, and query performance.
- Experience deploying and operating software in a cloud environment.
- Daily, hands-on use of Claude Code and other AI coding assistants, with the judgment to review, test, and stand behind AI-generated code.
- Comfort working in an early-stage, category-creation environment where the playbook is still being written.
- Clear written and spoken communication in English, and a habit of giving and asking for feedback directly.
Nice To Haves
- Experience with Vue.js.
- Experience with Django.
- Experience with Google Cloud Platform.
- Experience with the Model Context Protocol, AI agent tooling, or AI gateways.
- A background in developer tools, security, or governance software.
Responsibilities
- Design, build, and ship full-stack features across Vue.js interfaces and Python/Django and TypeScript services.
- Turn product specifications and designs into working software, raising questions and tradeoffs early with product and design.
- Design clear APIs and data models that other engineers can understand and extend.
- Write automated tests alongside code and help keep the test suite fast and reliable.
- Review teammates' pull requests thoughtfully and respond constructively to feedback.
- Investigate and fix bugs, including customer-escalated issues, by tracing problems across the front end, back end, and infrastructure.
- Use Claude Code and other AI coding assistants to plan, write, test, and review code while taking ownership of shipped work.
- Share techniques that improve team efficiency and help refine the team's use of AI tooling.
- Contribute to planning and technical discussions with honest estimates and early warnings about risk.
- Build a working understanding of MCP and how enterprises connect AI agents to business systems.
- Document work so teammates and future engineers can understand and maintain it.
Benefits
- 401(k) plan contribution with employer match.
- Commuter allowance (transit stipend).
- 18 paid vacation days (PTO).
- Health insurance.
- Personal development budget for every employee.
- Hybrid workplace.
- Online wellness sessions.
- Team events, including team buildings, happy hours, company breakfasts and lunches, in-person and virtual.
- Office refreshments including snacks, fruit, coffee, and drinks.
- Flexible working hours.
- Possibility of workcations in accordance with company policy.
- Job-related language courses.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
