Principal Backend Engineer, Conversational AI
- Compensation
- $159K–$210K / yr
- Location
- USA - Remote
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Backend
- Posted
Skills
Must have
- 5+ years’ experience developing software in a production environment
- 2+ years’ experience in a senior engineer role
- Production experience with Node.js and Typescript
- Proven experience working in backend systems, designing RESTful APIs and codifying business logic on top of data stores
- Exceptional ability to communicate clearly and concisely, particularly in Slack and technical documents
- Experience in product development where you were a key decision maker
- Deep expertise in system architecture and design
- Proven success in operational excellence
- Cross-functional leadership and collaboration experience
- Familiarity with cloud environments, especially the Google Cloud stack
- Meticulous: You pay attention to detail and take pride in what you deliver
- Articulate: You succinctly and effectively communicate verbal and written technical and non-technical ideas and topics
- Kind, not (just) nice: You provide tough feedback in a clear and concise manner that does not diminish or belittle the recipient
- Opinionated: You bring strong opinions to discussions but are willing to change your mind when presented with new or better information
- Product-minded: You focus on the “why” just as much as the “what” or “how”
- Collaborative: You work within your team and cross-functionally to build consensus and achieve results
- Autonomous: You are self-motivated, able to hold yourself accountable, and can generate high-value work with little direct supervision
Full description
About Trellis
Trellis is rewriting the insurance experience from the inside out. We’re the tech company behind Savvy, our licensed insurance agency, and we’re bringing clarity and ease to a space known for… the opposite. With powerful tools, clean design, and a customer-first mindset, we’re making insurance shopping refreshingly effortless.
We’re a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. As a remote-first team, we move quickly, experiment boldly, and build with intention.
If you’re craving meaningful impact, energized by ambiguity, and are ready to build alongside exceptional teammates, you’re going to love doing your best work at Trellis.
The Opportunity
As a Principal Software Engineer on the Conversational AI team at Trellis, you’ll play a critical role in shaping the future of our AI-driven customer experiences. You’ll architect and build intelligent systems that power natural, engaging conversations between users and our platform. Working closely with cross-functional partners, you’ll transform high-level product initiatives into scalable, well-tested technical solutions.
You’ll lead the way on complex projects by defining scope, setting technical direction, and mentoring teammates along the way. You’ll guide the team through tough challenges, offer thoughtful code reviews, and contribute to a culture of continuous learning and collaboration. Whether you're onboarding new teammates or refining our LLM-driven infrastructure, you’ll be a key force behind our AI innovation.
You will report directly to John Hartley, Head of Conversational AI Engineering.
What You’ll Do
- Guide your team in delivering high quality, well tested technical solutions providing technical and project oversight
- Lead by example through the quality of your code and your approach to your work
- Own projects through the entire software development lifecycle - from planning and development to validation, iteration, and maintenance
- Translate conceptual work into well-crafted tech plans for review by technical leadership and key stakeholders
- Leverage your understanding of the business and engineering strategies to design experiments and high-value projects that impact the work your team is doing
- Expertly navigate complex systems and domains to identify key challenges and create plans to address them
- Own system quality and hold your team members accountable through constructive and actionable feedback
- Level up the team through code review feedback and knowledge sharing sessions
- Assist in the onboarding of new engineering hires