5 months ago
Base Salary
$180k - $230k/yr
Responsibilities
- Build and operate LLM-powered conversational agents, including orchestration, conversation flow, tool use, prompt engineering, and voice capabilities.
- Develop interactive, adaptive, embeddable generative UI widgets with React.
- Build customer-facing tooling for configuring agents, managing flows, reviewing conversations, and measuring performance.
- Create evaluation pipelines, automated regression tests, observability tooling, and self-improvement workflows.
- Design agent deployment, versioning, feature-flag, preview-environment, and rollout infrastructure.
- Debug conversation logs and quality regressions, ship fixes, and support customer-facing production issues.
- Prototype and deliver full-stack features across frontend, backend, integrations, and deployment.
- Participate in on-call or incident response rotations and help establish technical culture as a founding team member.
Requirements
- Proven experience designing and building LLM-based conversational agents, including orchestration, tool use, prompt engineering, and conversation flow.
- Production backend development experience in Python, including services, APIs, and backend infrastructure.
- Frontend development experience with React, including interactive and adaptive user interfaces and rapid prototyping.
- Demonstrated ability to deliver full-stack features end-to-end across 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, including feature flags, preview environments, and versioned rollouts.
- Experience with voice-enabled or browser-based agents, such as STT/TTS, WebRTC, or browser automation, or equivalent voice/browser and LLM integration experience.
- Experience deploying and operating production services on AWS or GCP with Docker; Kubernetes or similar orchestration is a plus.
- Strong product sense and ability to rapidly prototype, incorporate feedback, and prioritize high-impact work.
- Experience at an early-stage startup or demonstrated ability to work effectively in ambiguous, high-velocity environments.
- Strong written and verbal communication skills, including debugging issues with customers and documenting design decisions.
- Willingness to support urgent production issues and participate in on-call or incident response rotations.
- Familiarity with reinforcement learning workflows such as RL, RLHF, and reward modeling, or experimentation frameworks applied to agent improvement, is preferred.
Benefits
- $180,000–$230,000 USD annual salary.
- Early-stage equity commensurate with the founding engineer role.
- Visa sponsorship is not available; candidates must be legally authorized to work in the United States.
- Fully on-site in San Francisco, California, five days per week; remote and hybrid arrangements are unavailable.