Clera
Founding Engineer (Full Stack)
About this role
Founding full-stack engineer role at a seed-stage AI startup building autonomous product demo agents for B2B sales teams. You'll own the entire technical stack—from LLM orchestration and voice agents to generative UI and self-improvement pipelines—working directly with the CTO to set architecture for rapid scaling.
What you'll do
- Design and implement LLM orchestration, conversation flows, and tool-use logic for agents that understand unfamiliar products and explain them to prospects
- Build embeddable, responsive generative UI components that adapt in real-time based on user interaction and product context
- Develop customer-facing platform features for agent configuration, conversation management, transcript review, and performance analytics
- Own evaluation and quality assurance pipelines including regression detection, rollback mechanisms, and automated self-improvement loops
- Architect zero-cold-start infrastructure ensuring agents respond instantly when prospects initiate demos
- Design agent versioning and preview systems enabling safe, staged deployment of changes
What they're looking for
- React (frontend development)
- Python (backend development)
- LLM agent orchestration and frameworks (LangChain, LlamaIndex)
- RAG pipelines and retrieval-augmented generation
- Evaluation framework design and regression testing
- Full-stack product development and shipping
- UX/UI sensibility and product thinking
- Infrastructure and reliability engineering
Benefits
- Founding engineer equity package commensurate with role and stage
- Competitive salary ($180,000–$230,000 annually)
- Opportunity to set technical culture and architecture at a fast-growing startup
- Direct collaboration with CTO on novel, unsolved AI and product challenges
- On-site team culture in San Francisco
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a production AI agent feature you shipped end-to-end—what was the hardest part and how did you solve it?
- Describe your experience building evaluation pipelines for model outputs. How have you detected and traced regressions in production?