About The Role :

We are looking for a Full-Stack Engineer with a strong backend bias to help build end-to-end product experiences across Lumen and Agent Studio. You will own features from database and API design through to the front-end experience, working closely with product and design to ship AI-powered experiences that real business users depend on every day.

What Youll Do :

- Design and build backend services and APIs in Python that power core product and AI-agent features.

- Build front-end interfaces and experiences that let users interact naturally with AI agents, insights and CRM workflows.

- Own features end-to-end from data modeling and backend logic to UI implementation, testing and release.

- Work with product managers and designers to translate requirements into well-architected, scalable systems.

- Integrate with LLM-based and agentic backend systems built by the AI/ML engineering team.

- Optimize application performance, reliability and code quality across the stack.

- Engage directly with customers and customer success teams to understand workflows, triage issues and inform roadmap decisions.

What Were Looking For :

- 46 years of professional full-stack engineering experience, with a clear backend-heavy skill set in Python.

- Strong experience designing and building REST/GraphQL APIs, data models and scalable backend services.

- Working proficiency with modern front-end frameworks (e.g., React) to build and integrate user-facing features.

- Experience with relational/NoSQL databases, caching and cloud infrastructure.

- Ability to move fast in a zero-to-one environment while maintaining code quality and system reliability.

- Strong communication skills this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have :

- Experience building features on top of LLM or AI-agent backends.

- Prior experience in CRM, SaaS or enterprise business applications.

- Exposure to real-time or voice-based product interfaces.