Backend EngineerConduit AI • San Francisco, CA, United States
Backend Engineer
Conduit AI • San Francisco, CA, United States
14 days ago
Job type
- Full-time
Job descriptionMessage ingest & delivery : own SMS / WhatsApp / email / voice infra, build webhook handler, manage retries, track delivery receipts / errors, and keep per‑workspace rate limits. Workflow runner & scheduler : keep step execution reliable (retries / backoff), maintain time‑based triggers, pause / resume jobs safely, and prevent duplicate runs. Inbox & threading : keep conversation threading correct across channels, maintain assignments / escalations / status transitions. API endpoints : maintain API for contacts, messages, workflows, tasks; enforce workspace auth, pagination, and request limits. Data model & migrations : write zero‑downtime migrations; build backfill scripts with verification and rollback. External integrations : keep Stripe / PMS / CRM connectors healthy; add timeouts on outbound calls; handle third‑party outages with safe fallbacks; monitor webhook failures with a DLQ. Logging, metrics, tracing : ship structured logs, basic request / queue timings, useful dashboards, and alerts tied to clear runbooks. Multi‑service health : run a small monolith plus a few workers (messaging, workflow, media). Keep interface boundaries clear and clean. You’ve shipped and operated production services. You debug with logs / metrics / traces and write clear design docs, migration plans, and runbooks. You prefer simple fixes first, then add complexity only when required. You thrive in a small, fast‑moving startup environment, where you can take on significant responsibility. You care deeply about crafting solutions that solve real customer problems. You’re excited about working with a tight‑knit team (both the CTO and fellow engineers) on cutting‑edge AI. You have a track record of achievement and initiative, with the drive to see tough projects through to completion. Monitoring & Analytics : Implement metrics, dashboards, and alerting to track application / infrastructure performance and spot issues early. Collaborative Architecture : Work closely with our frontend and AI engineers to integrate backend modules with the broader platform (Inbox, Workflows, Escalation Center, etc.). Scaling : Ensure our AI infrastructure is built to handle growing data volumes and real‑time interactions with minimal latency. Competitive Salary : $150,000‑$250,000 base compensation. Opportunity to own critical backend infrastructure in a rapidly‑accelerating product environment. Day‑1 impact with direct influence on architecture and product.
Join to apply for the Backend Engineer role at Conduit AI.
This range is provided by Conduit AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$130,000.00 / yr - $190,000.00 / yr
About Conduit Conduit is the platform for building conversational AI agents focused on hospitality. Our AI agents automate inbound and outbound conversational workflows to increase conversions, reduce costs, and improve customer satisfaction.
Our Mission To maximize conversational automation for high touch businesses.
What Makes Conduit Unique
- We’re an AI native help desk, not just a headless plugin. We’ve built inbox that human agents use every day. Our inbox was carefully designed to help teams increase automation over time.
- Our users operate alongside AI, then automate themselves. At Conduit we believe automation is a continuous journey, requiring teaching and managing your AI teammates. Our agent hub helps teams add SOPs, review suggestions, manage their knowledge base, and build complex workflows.
- Omnichannel conversations are fully threaded. We operate on a contact‑based model (vs ticket‑based). Context across calls, SMS, email, web chat is maintained in one coherent thread for humans and AI agents.
- Run reactive and proactive automation. Customer service teams can go beyond customer and trigger event‑driven workflows from native app events and common integrations.
- Workflows as tools. AI agents can use Zapier / n8n‑style workflow automations to take action and achieve outcomes, e.g., assign maintenance, text the vendor, confirm back to the resident, and close the loop.
- Synchronous and asynchronous. Instant chat at the right time and flexible multi‑step follow‑ups when needed.
Role : Backend Engineer
We seek a motivated and ambitious Backend Engineer with hands‑on experience building production backend systems. You’ll work directly with Punn (CTO) and the engineering team to harden reliability, push down latency, evolve data models safely, and create paved roads that make every other team faster.
Responsibilities
Who You Are
What You’ll Do
Compensation & Benefits
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
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Backend Engineer • San Francisco, CA, United States
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