Lead Software Engineer guiding developers with Java and technical decisions for RebelDot's web projects. Delivering solutions while ensuring project efficiency and team collaboration.
About the role
- Own backend services for voice AI automation at Hamming. Ensure reliability and scale for LLM-driven systems with advanced observability practices.
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.
Requirements
- 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.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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