This is a full-stack software engineering role on a small, flat team building an AI agent platform for the hospitality industry. You will own meaningful pieces of a system that handles guest communication and operations workflows at scale, with real autonomy over design and architecture decisions.
Design and build response generation pipelines, including routers, orchestrators, and synthesizers that classify intent, assemble context, select tools, and decide when to send or escalate.
Develop knowledge retrieval systems that ground agent responses in accurate, current customer data despite messy real-world inputs.
Build tool orchestration layers that execute multi-step workflows reliably, including graceful handling of third-party API failures mid-conversation.
Create evaluation frameworks that measure quality against real conversations and catch regressions before they reach customers.
Implement observability and tracing that makes agent reasoning legible to non-technical support teams.
Design controls and interfaces that let support leads adjust agent behavior without writing code.
Extend the platform to voice conversations with real-time transcription and tool-use capabilities.
Optimize for speed and cost through model routing, caching, and prompt refinement.
Own infrastructure, data pipelines, integrations, and API work that underpin the platform.
5+ years of professional software engineering experience, with at least 3 years shipping production systems that real users depend on.
Hands-on experience designing and debugging AI/ML systems in production, including retrieval pipelines, prompt engineering, or model orchestration.
Experience building and evaluating retrieval systems such as knowledge bases, ranking, context validation, or semantic search.
Experience designing multi-step workflows, tool orchestration, or function-calling systems.
Experience building observability, tracing, or debugging tooling for complex pipelines.
Strong evaluation discipline, measuring impact across real conversations before shipping changes.
Proficiency in at least one backend language such as Python, Go, Rust, or Java.
Comfort working across the full stack and picking up whatever the problem requires.
Demonstrated direct ownership of production product systems, ideally in a startup environment.
Experience integrating with third-party APIs and handling failure modes in production.
Pragmatism about AI models, knowing when to reach for frontier models, fine-tuned variants, or simpler solutions.
Prior experience with voice systems, real-time audio, or low-latency applications is a plus.
Background in hospitality, travel, property management, or guest operations is a plus.
Base salary: $130,000 to $220,000 per year
Equity: 0.20% to 1.20%
Comprehensive health insurance and 401(k) match
Visa sponsorship is not available; candidates must be authorized to work in the US
On-site in San Francisco, CA. Relocation is welcome for the right candidate.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Clera is a fast-growing AI start-up that is rethinking the way top talents find their next dream jobs. By automating and optimizing processes within the $600B global headhunting industry.