Founding Full Stack Engineer

Clera

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Join as the first Founding Full Stack Engineer at a well-funded, early-stage B2B SaaS startup building AI-powered conversational agents that run product demos 24/7, adapting to each buyer and improving with every interaction.
• Own end-to-end development across the full stack, including LLM orchestration, conversation flow design, tool use, and voice integration for agents that explain unfamiliar products clearly to prospects of all technical levels.
• Build and maintain embeddable, generative frontend UI widgets that are fast-loading, interactive, and responsive across products and screen sizes, prototyping from whiteboard sketches to demo-ready features in a single day.
• Design and implement customer-facing platform tooling for configuring agents, managing conversation flows, reviewing interaction logs, and measuring performance metrics.
• Develop automated evaluation pipelines that measure agent quality and feed learnings back into the system to enable self-improvement without manual intervention.
• Architect and deploy infrastructure to ensure zero cold starts, instant agent response times, and versioning systems that allow customers to preview agent updates before live deployment.
• Debug production conversation logs to trace where LLMs lose context during objections, then ship fixes to the orchestration layer within hours.
• Trace quality regressions to prompt changes, roll back updates, and implement automated tests to prevent recurrence.
• Design agent versioning infrastructure from scratch, including feature flags, preview environments, and versioned rollouts to ensure safe, customer-controlled updates.
• Operate production services on AWS or GCP using Docker; Kubernetes experience is a plus.
• Participate in on-call rotations for urgent production issues and respond to incidents with urgency and precision.
• Collaborate closely with the CTO to set the technical culture, coding standards, and engineering practices for future hires.
• Rapidly prototype, iterate on feedback, and prioritize high-impact work in a fast-moving, ambiguous startup environment with no established processes.
• Communicate clearly in writing and verbally to document design decisions, debug issues with customers, and align with cross-functional stakeholders.
• Work fully on-site in San Francisco, CA, five days per week — remote and hybrid arrangements are not available.

🎯 Requirements

• Proven experience designing and building LLM-based conversational agents — orchestration, tool use, prompt engineering, and conversation flow.
• Production backend development experience in Python (services, APIs, backend infrastructure).
• Frontend experience with React — building interactive, adaptive UIs and rapid prototyping.
• Demonstrated ability to deliver full-stack features end-to-end: frontend, backend, integration, and deployment.
• Experience building evaluation pipelines, automated regression tests, observability tooling, and CI/CD workflows.
• Experience designing deployment and versioning infrastructure for agents (feature flags, preview environments, versioned rollouts).
• Experience with voice-enabled or browser-based agents (STT/TTS, WebRTC, or browser automation) or equivalent voice/browser + LLM integration experience.
• Experience deploying and operating production services on cloud platforms (AWS or GCP) with Docker; Kubernetes or similar orchestration a plus.
• Strong product sense: ability to rapidly prototype, iterate on feedback, and prioritize high-impact work in a fast-moving environment.
• Experience at an early-stage startup or demonstrated ability to thrive in ambiguous, high-velocity environments.
• Strong written and verbal communication skills — comfortable debugging issues with customers and documenting design decisions clearly.
• Willingness to be available for urgent production issues and participate in on-call or incident response rotations.

🏖️ Benefits

• Salary: $180,000 – $230,000 USD annually
• Early-stage equity commensurate with founding engineer role
• Visa sponsorship is not available — candidates must be legally authorized to work in the United States

Skills & Technologies

Python

React

AWS

GCP

Full Stack

Remote

$180k-230k

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

Clera

Visit Website

About Clera

Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.