Flair Labs is seeking a Backend Engineer to design and scale distributed calling infrastructure, build high-throughput data pipelines, and ensure reliability and observability across our GCP-based architecture. The ideal candidate has strong distributed systems fundamentals and experience with async Python, GCP, and containerized deployments. We offer a competitive salary, equity, and benefits.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About Flair Labs
Flair Labs is building the most graceful voice AI for the real estate and lending industry. Our agents handle millions of calls per month โ qualifying leads, scheduling appointments, and guiding borrowers through complex mortgage processes โ at sub-800ms latency. Backed by Y Combinator (W24) and a $4M seed round, we're growing fast and looking for engineers who want to build foundational infrastructure, not maintain legacy systems.
The Role
We're looking for a backend engineer who wants to work on hard distributed systems problems where the stakes are real: latency kills calls, data loss loses leads, and reliability earns enterprise contracts.
What You'll Work On
- Design and scale distributed calling infrastructure handling millions of concurrent voice sessions
- Build high-throughput, low-latency data pipelines for real-time call processing
- Own reliability, observability, and fault tolerance across our GCP-based architecture
- Architect multi-tenant systems serving mortgage lenders with strict SLA requirements
- Integrate with telephony (Twilio, SIP), CRMs, and LLM providers
- Optimize PostgreSQL and Redis layers for high-concurrency workloads
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You Might Be a Fit If
- You have strong distributed systems fundamentals โ you think in terms of consistency, availability, and fault tolerance
- You're experienced with async Python (asyncio) or similar event-driven backend frameworks
- You've designed systems with real reliability requirements and have been on-call
- You have hands-on experience with GCP, AWS, or Azure and containerized deployments
- You've worked with message queues, stream processing, or real-time pipelines
- Bonus: experience with voice AI, telephony, or conversational AI
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Stack
Python ยท asyncio ยท GCP ยท PostgreSQL ยท Redis ยท Twilio ยท Docker ยท LLM APIs ยท WebSockets
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Interview Process
3 rounds โ behavioral, live coding, and system design. No take-homes.
Compensation & Benefits
Base: $130,000 โ $150,000
Equity: meaningful early-stage equity
Location: San Francisco, CA (Hybrid)
Visa sponsorship available (H-1B, O-1, OPT, and others)
Email:ย eddie@flairlabs.ai
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