Solutions Engineer, Voice AI

Your opportunity

Our client is a mission-driven, well financed, seed-stage startup modernizing emergency response communications, reducing 911 call wait times and improving public safety outcomes. It’s a Canadian corporation that operates with remote teams distributed across North America. Their core product is an agentic platform, with humans in the loop, that enhances emergency response operators’ ability to field and triage incoming calls for government services, with an acute focus on public‑safety and city‑service hotlines.

The company is a freshly funded, mission-driven SaaS GovTech led by accomplished, repeat co-founders committed to impacting communities by relieving a critical bottleneck in emergency response communications. The leadership team brings decades of startup experience, multiple exits through both IPO and M&A, and relevant tours of duty in public service and research to the venture. As of October 2025, the company has approximately 14 team members total with this hire representing the second solutions engineer ever added to the team.

The platform utilizes commercially available and open-source models to provide a sophisticated voice agent capable of triaging 911 calls, automating routine and non-emergent 911 calls, and handling 311 and government service calls. The company differentiates itself from the competitive landscape by offering an AI-native product experience, focusing exclusively on 911/311 calls and integrating with existing emergency call‑center and dispatch workflows.

Please note that this role involves travel to client sites across Canada and the US.

Key responsibilities

• Implementations and onboarding: Configure and deploy solutions to production as the product specialist; coordinate with customer and internal teams to meet go-live timelines, acceptance criteria, and security requirements
• Pre-sales support and solutioning: Partner with Account Executives to deliver scenario-based demos; uncover technical needs and constraints; produce fit/gap assessments, high-level architectures, and statements of work for pilots and deployments
• Product discovery and quality assurance (voice of the customer): Gather and document customer feedback, feature requests and bug fixes and reinforce alignment between the product roadmap, customer needs and broader market demand
• Run-state operations & incident response: Participate in on-call/incident coordination for production customers; triage issues across app, integrations, and infrastructure; drive post-incident follow-through and customer-facing updates
• Technical documentation and playbook development: Create implementation runbooks, onboarding guides, and FAQ/playbooks that compress time-to-value and improve repeatability
• Domain expertise: Stay current on practical applications of voice AI and on developments in emergency-services technology and operations

Tech Stack

• Machine Learning & AI services: LiveKit, OpenAI, LangChain
• Cloud provider: Azure
• Infrastructure as code / containerization: Terraform, Docker
• Monitoring, alerting & observability: New Relic, incident.io
• Back-end: Python, Go, Elixir, Ruby
• Database: PostgreSQL, vector databases (e.g. Pinecone, Qdrant, Chroma)

Your know how

• You have 2+ years of experience in a technical, customer-facing role (solutions engineering, technical consulting, customer success engineering, forward deployed engineering, etc.) with ownership across discovery, demos/POCs, and implementations
• You have experience supporting the implementation of AI-enabled B2B products or services, though not necessarily voice agents
• You have a technical background in software engineering, machine learning, data science, natural language processing (NLP) and/or AI research
• You have fantastic communication skills and an exceptional command of English
• You have an adaptable, resilient disposition suited to a dynamic startup environment

It’s a bonus if

• You have helped build or scale an enterprise SaaS venture
• You have experience developing and/or integrating voice‑AI or audio‑processing solutions (ideally utilizing LiveKit or Pipecat)
• You have experience with telephony systems (PSTN, SIP protocols, PBX architectures)
• You have experience with WebRTC technologies (peer-to-peer media streaming, signaling protocols, ICE/STUN/TURN for NAT traversal, data channels, and client-server integration)
• You have an acute interest in building impact-oriented technology that improves public safety