Backend / Infra Engineer

Overview

Hamming automates QA for voice AI agents. Everyone is building voice agents. We secure them. In fact, we invented this category. With one click, thousands of our agents call our customers’ agents across accents, background noise, and personalities—then we generate crisp bug reports and production-grade analytics. Reliability is the moat in voice AI, and that’s our whole job.

Location

Remote (North America) or Austin, TX

Responsibilities

• Own core services in TypeScript/Node.js and Python that orchestrate LiveKit, Temporal, STT/TTS, and LLM tooling for real-time voice agents.
• Scale 1 → N → 100×: take what works today and harden it for 10K parallel calls with 99.99% uptime. Turn human playbooks into productized systems.
• Harden pipelines for ingestion, evaluation, and analytics so telephony events, recordings, and outcomes propagate reliably across services.
• Level-up observability: deepen OpenTelemetry/SigNoz and trace-first practices to shrink mean-time-to-truth in prod.
• Prototype → test → prod: partner with product to ship new LLM-driven behaviors with clear success metrics, guardrails, and regressions blocked in CI.
• Infrastructure readiness: CI/CD, environment automation, incident response playbooks—customer conversations stay online.
• Have senior/staff experience running distributed backends with real-time/streaming constraints.
• Are fluent in TypeScript/Node.js and comfortable jumping into Python for ML/audio jobs.
• Know Temporal (or similar workflow engines), queues, Redis, and PostgreSQL.
• Have shipped production LLM apps and understand prompt/tool design, evals, and guardrail instrumentation.
• Operate cloud-native on AWS with Terraform; k8s doesn’t scare you.
• Are a power user of Cursor/Zed/Devin and were using code-gen before it was cool.
• Have intuition for what current-gen LLMs can/can’t do—and what tomorrow’s models will unlock.
• Think independently, grind with customers, and do whatever it takes—without dropping the quality bar.
• Bonus: built 0→1 real-time systems in Telecom/Networking, Autonomous Vehicles, or HFT; founded something; built AI voice apps.
• Voice simulations that feel real: accents, overlapping speech, crosstalk, background noise, barge-ins.
• Mega concurrency: 10,000+ parallel calls with deterministic behavior and graceful degradation.
• Temporal-driven orchestration for long-running, interruptible call flows.
• Closed-loop reliability: turn prod failures into auto-generated tests and blocked deploys.
• Trace-everything culture: make “what happened?” a 30-second question, not a war room.
• Outcomes over output: we adjust roadmaps when new data lands.
• Demo early and document decisions so context moves fast.
• Own incidents: lead the investigation, write crisp notes, land durable fixes.
• Direct, candid, respectful communication keeps remote teammates in lockstep with Austin HQ.

Requirements

• Senior/staff experience running distributed backends with real-time/streaming constraints.
• Fluent in TypeScript/Node.js and comfortable jumping into Python for ML/audio jobs.
• Know Temporal (or similar workflow engines), queues, Redis, and PostgreSQL.
• Have shipped production LLM apps and understand prompt/tool design, evals, and guardrail instrumentation.
• Operate cloud-native on AWS with Terraform; k8s doesn’t scare you.
• Power user of Cursor/Zed/Devin and used code-gen before it was cool.
• Intuition for what current-gen LLMs can/can’t do—and what tomorrow’s models will unlock.

Qualifications

• Have shipped production LLM apps and understand prompt/tool design, evals, and guardrail instrumentation.
• Operate cloud-native on AWS with Terraform; k8s doesn’t scare you.
• Power user of Cursor/Zed/Devin and used code-gen before it was cool.
• Intuition for what current-gen LLMs can/can’t do—and what tomorrow’s models will unlock.

Benefits

• Opportunity to work with cutting-edge technology and help shape the future of voice AI.
• Collaborative and supportive team environment with a strong focus on innovation and continuous improvement.
• Competitive compensation package including base salary, performance bonuses, and equity options.
• Flexible work arrangements to support a healthy work-life balance.
• Access to a range of professional development opportunities and resources.

Pay

$140K - $200K

Schedule

Full-time