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Clerk Chat's mission is to make every business conversational. We are achieving this by building the leading messaging application, integrating AI where it matters, and crafting our own telecom infrastructure. It's big and bold and needs spirited adventurers to join our growing team.
We've built Clerk Chat organically into a profitable business over the last 2 years. We're a team that believes in achieving your highest potential but not at the expense of work-life balance. That's why we have flexible vacation time, healthy quarterly bonuses, and creative freedom at the forefront. We're Silicon Valley-based entrepreneurs who have sold companies, gone through HF0, and built teams at Lucasfilms, Samsung, Netflix, DocuSign, and Series B+ Startups.
Clerk Chat is an in-office team based just three blocks south of the Embarcadero BART station, making it easy to commute and stay connected. We love being in the office five days a week because it fosters real-time collaboration, builds stronger relationships, and helps us move faster. This is an exciting time to join Clerk Chat. We're small enough that every individual has a big impact, but we're growing fast enough that there's tremendous room for career advancement.
As a Staff Software Engineer focused on Backend & AI, you are a technical leader who thrives at the intersection of systems engineering and applied AI. You're obsessed with building reliable, low-latency infrastructure and equally passionate about crafting prompts and orchestration layers that make AI feel magical. You understand that great AI products aren't just about the models—they're about the systems that surround them. You take ownership of complex problems, influence technical direction across teams, and elevate those around you.
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10+ years of software engineering experience , with significant time spent in backend or infrastructure roles
Deep expertise in Python or Go (or similar languages) for building production systems
Hands-on experience with LLMs —prompt engineering, fine-tuning, RAG architectures, or building AI-powered features
Strong understanding of distributed systems , including event-driven architectures, async processing, and real-time data pipelines
Experience with low-latency systems where milliseconds matter
Track record of technical leadership —influencing architecture, mentoring engineers, and driving cross-functional initiatives
Excellent communication skills —you can explain complex technical concepts clearly to both engineers and non-technical stakeholders
A bias toward shipping —you balance technical excellence with pragmatism
Experience with voice AI, telephony, or real-time communication systems (WebRTC, SIP, SBCs)
Familiarity with speech-to-text, text-to-speech, or VAD technologies
Background in prompt optimization at scale—A/B testing prompts, building prompt management systems
Experience with telecom, contact center, or conversational AI products
Exposure to early-stage startups or high-growth companies , with a passion for driving results in fast-moving environments
Enterprise conversational AI platform for voice and messaging.
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