About Broker Loop
Broker Loop builds agentic AI for insurance brokers that removes manual workflows and speeds up quoting, intake, and follow up. Our platform integrates real-time voice, SMS, email, and internal systems to capture compliant data, trigger next steps, and keep teams in flow.
The role
You will design and build production systems across our voice AI and automation stack. The work spans real-time telephony and audio streaming, LLM-driven orchestration, prompt and experiment management, and the web dashboards that brokers use every day. You will ship pragmatically, measure outcomes, and improve reliability and latency with each release.
What you will do
* Build and operate low-latency services for real-time calling, STT and TTS, and conversation control using Twilio
* Implement agentic flows with LangGraph, manage prompts and experiments with Langfuse, and track quality metrics
* Create API endpoints and event-driven workers to handle quoting, data capture, and third-party integrations
* Develop front-end features in React and TypeScript for case review, call replay, audit trails, and reporting
* Instrument services for observability, logging, and cost tracking, then use the data to drive improvements
* Write maintainable code, review PRs, and improve our CI builds and deployment workflow
* Collaborate with founders, brokers, and partners to turn field feedback into shippable increments
What you will bring
* 5 plus years of software engineering in production environments
* Strong skills in at least one of Go or TypeScript plus solid API design skills
* Experience with cloud infrastructure, Docker, and CI on GitHub Actions
* Comfort with real-time or streaming systems such as WebSockets or telephony or audio pipelines
* Clear thinking about reliability, idempotency, and stateless service patterns
* Practical testing mindset plus a focus on observability and measurable outcomes
* Excellent communication and a bias to ship
Nice to have
* Twilio ConversationRelay or Voice experience
* Deepgram or ElevenLabs or similar audio stack
* Groq or other LLM providers and experience tuning latency
* Postgres and Redis and event buses such as SQS or NATS
* Security and compliance awareness in financial services
Our stack
* Backend Go, Node and TypeScript
* Front-end React and TypeScript
* LLM and agents LangGraph for orchestration, Langfuse for prompt and experiment management
* Telephony and audio Twilio, Deepgram, ElevenLabs
* Infra AWS, Docker, GitHub Actions, Terraform
* Data Postgres, Redis
* Observability OpenTelemetry, logs to Grafana
Ways of working
* Small units with clear ownership and thin slices
* Trunk-based development with short-lived branches and PRs
* Pragmatic tests and strong instrumentation
* Written design notes for risky changes
* Security first mindset and customer trust as a core value
Benefits
* Melbourne preferred with remote
* New hardware and tools that help you move fast
* Learning budget and access to advanced AI tooling
* Competitive salary
Hiring process
1. Short intro call with a founder to align on mission and role
2. Practical exercise that mirrors our real work, time boxed and reasonable
3. Technical deep dive and system design conversation
4. Team fit and offer