Location: Remote (North America) or Austin, TX Employment Type: Full-time (no contractors) Department: Engineering About Hamming AI Hamming builds three products for voice and chat AI agents: testing/simulation to validate behavior before launch; red-teaming to probe for prompt injection, jailbreaks, PII leakage, and policy violations; and production monitoring/observability to detect failures in live conversations and turn them into regression tests. We are one of the fastest engineering teams in the world. We prod deploy 4x / day. I’m looking for someone who can own reliability and scale across our LLM-enabled platform, shipping precise, outcome-driven improvements to high-availability systems. — Sumanyu (CEO) Previously: grew Citizen 4× and scaled an AI sales program to $100Ms/yr at Tesla. Devin Case Study Ranked #1 Eng team OpenAI Dev Day 100billion token list What you’ll do • Own product features end-to-end: spec → prototype → ship → iterate, across frontend and backend. • Work closely with customers: onboard new accounts, run weekly check-ins, and act as a high-agency partner to drive adoption and outcomes. • Build core customer workflows for voice-agent QA: test creation, scenario management, evaluation results, analytics, debugging, and triage. • Turn messy, high-dimensional data (calls, transcripts, tool events, traces, eval outputs) into product experiences that are obvious and actionable. • Partner with customers to understand their reliability pain, then translate it into shipped product with measurable outcomes. • Tighten the product loop: instrumentation, funnels, and feedback so we know what’s working and what’s not. • Maintain high engineering velocity while keeping craftsmanship: clean APIs, strong abstractions, and excellent UI polish. You might be a fit if you • Have 3+ years building customer-facing products in a high-velocity environment (startup experience a plus). • Are fluent in TypeScript and comfortable across the stack (React/Next.js + Node services). • Ship quickly but with discipline: you write clear code, strong tests where it matters, and avoid accidental complexity. • Have strong product instincts: you can simplify complex workflows into crisp UX and make good tradeoffs under ambiguity. • Love talking to users, diagnosing friction, and iterating until a feature feels “done.” • Care about reliability: you build with observability, failure modes, and data correctness in mind. • Communicate clearly: written specs, crisp PRs, and decisions that scale across a fast-moving team. Bonus • Experience building analytics-heavy products (dashboards, event pipelines, debugging tools). • Familiarity with LLM apps, evals, tool calling, or prompt/guardrail systems. • Experience with real-time systems, telecom/voice, or high-concurrency workflows. • Strong UI craft: interaction design, information architecture, and performance tuning. Interesting problems you’ll touch • Debugging workflows for voice agents: call timelines, transcripts, tool calls, traces, and “what changed?” diffs. • Test authoring that scales: scenario libraries, parameterization, coverage, and regression packs. • Evaluation UX: turning model-graded / heuristic / human feedback into trustworthy signals and action items. • Analytics that matter: reliability metrics customers can run their business on. • Enterprise readiness in-product: RBAC, audit trails, data retention, and environment/region controls. Our stack • App: Next.js, TypeScript, Tailwind • AI: OpenAI, Anthropic, STT/TTS providers • Realtime/Orchestration: LiveKit, Pipecat/Daily, Temporal • Infra/DB: AWS, k8s, PostgreSQL, Redis, Terraform • Observability: OpenTelemetry, SigNoz Apply If you want to build the product layer for reliable Voice AI, let’s talk. Send a short note (links to work > resumes) to [email protected] and tell us about a product you shipped end-to-end: what you built, where it was painful, what tradeoffs you made, and how you knew it worked.