Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.
Your opportunity
Key responsibilities
Tech stack
Your know-how
It’s a bonus if
Interested in learning more?
Compensation
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 12 team members total, and this hire will take the engineering team from 6 to 7 software engineers. The rest of the team serves in sales/go-to-market, operations and leadership roles.
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.
R&D is organized into a single cross-functional delivery team led by a co-founder. Following the close of their seed round, the company is investing in their product velocity and is seeking a senior software engineer to join their budding engineering team.
- Software architecture and engineering: Design and implement event‑driven, real‑time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations to ensure low‑latency, high‑throughput and fault‑tolerance
- Systems architecture and engineering: Collaborate on cloud‑native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load‑balancing strategies, security best practices, and observability efforts
- AI platform engineering: Integrate LLMs and other emerging AI technologies, select and potentially fine‑tune models, orchestrate deployments, and monitor performance
- Audio processing: Design, implement, and optimize audio‑processing pipelines for capabilities such as speech‑to‑text, text‑to‑speech, voice‑activity detection, endpointing, noise filtering, and emotion detection
- Technical leadership and mentoring: Guide architecture and design decisions, conduct code reviews, establish best practices, and coach team members to accelerate their technical growth while reinforcing a culture of continuous improvement
- Back-end: Python, Go, Elixir, Ruby
- Database: PostgreSQL, vector databases (e.g. Pinecone, Qdrant, Chroma)
- Cloud provider: Azure
- Machine Learning & AI services: LiveKit, OpenAI, LangChain
- Infrastructure as code / containerization: Terraform, Docker
- Monitoring, alerting & observability: New Relic, incident.io
- You have experience integrating and deploying AI-enabled features using commercially available or open-source models into market-ready products
- You have 4+ years of experience in back-end or full-stack software engineering
- You have an adaptable, resilient disposition suited to a dynamic startup environment
- You have experience with natural language processing (NLP)
- You have helped build or scale an enterprise SaaS venture
- You have developed and/or integrated voice‑AI or audio‑processing solutions in production (ideally utilizing LiveKit)
- You have designed and implemented highly concurrent, fault‑tolerant services using Elixir, Erlang, Haskell, Go or another equivalent language
- 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 experience with Vector databases and similarity search pipelines
- You have an acute interest in building impact-oriented technology and saving lives with software
Please upload your resume or a .pdf export of your LinkedIn profile using the following “Apply and save” button, or send your resume or LinkedIn profile URL to [email protected] with “Senior Software Engineer, Voice AI” as the subject line. One of our partners will be in contact shortly.
If you require an accommodation, please share the details of your request with your talent partner upon their outreach and we will make all reasonable efforts to ensure accommodation requests are met throughout the recruitment process.
The base pay range for this role in Canada is CA$130,000 – CA$220,000 per year.
The base pay range for this role in the United States is $110,000 – $200,000 per year.
Similar Jobs
Gaming
Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.
Top Skills:
Artificial IntelligenceMachine LearningPythonRSQLTableau
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.
Top Skills:
AWSGoKafkaKotlinTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.
Top Skills:
AWSGoKafkaKotlinTypescript
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
