Full-time Ireland · Remote-first · HQ Dublin
About Us
Vox Talk AI builds a growing suite of AI products for the IoT alarm monitoring and security industry, serving Alarm Receiving Centres (ARCs). Alongside our AI voice operators, we've launched Vox Vision, our computer vision product that analyses CCTV footage.Our products run in live, round-the-clock operations for ARCs across the UK and Europe, processing over 50,000 alarm signals a month. When an alarm goes off, our AI is part of the response, so reliability isn't optional.We're a VC-backed, AI-native business: AI tools are central to how we build and run the company, not just what we sell. We're a Dublin-headquartered, remote-first team scaling toward enterprise clients.
The Role
This isn't a typical Forward Deployed Engineer role. You'll be a core member of our engineering team, building and hardening the platform our AI voice operators run on, and you'll also work directly with our customers, so what you build is shaped by how ARCs actually operate.You don't need to have worked as a Forward Deployed Engineer before. If you're a strong software engineer who wants to see what you build in customers' hands, you'll do well here. No alarm monitoring experience needed – we'll teach you the industry.One week you might be on a call with an ARC's operations team, working out why an agent stumbles on a particular verification step. The next, you could be building an integration with a customer's alarm monitoring software, or taking a new idea from prototype to production.Most of our implementation is done with AI coding agents. We're looking for someone with strong engineering fundamentals who can direct those agents with confidence: break a problem down well, review the output carefully, and know when something looks right but isn't.You'll report to the Lead Developer and work closely with our CTO and cloud team.
Build With AI
- Standardise our voice agents: reusable patterns for prompts, workflows, tools and tests, so every agent is consistent, version-controlled and safe to change
- Design and build well-tested, observable backend services with clear API contracts, and improve the reliability of our existing systems
- Use tools like Cursor, Claude and similar coding agents to deliver quickly, keeping quality high through good specs, reviews, tests and guardrails
- Build and maintain CI/CD pipelines, automated tests and quality gates, so changes are checked, deployed and rolled back safely
Work With Customers
- Work directly with ARCs to understand how their operations run, and translate ambiguous problems into working solutions
- Join calls, gather requirements and explain technical trade-offs in plain language, from control-room operators to IT teams
- Own customer deployments end to end, from discovery and configuration through to go-live, and own issues through to resolution
- Build integrations with customers' alarm monitoring software, telephony and messaging channels
Shape the Product
- Take new ideas from early prototype to production
- Spot patterns across customer deployments and turn one-off solutions into reusable product features
- Look after production: follow and improve our DEV/PROD practices, monitor live systems and help investigate incidents
- Spot friction in our processes, tooling and deployments, raise it, and fix it, ideally by automating it away
What We're Looking For
- You are curious and enjoy stepping out of your comfort zone to learn new skills
- Engineering fundamentals: you understand architecture, testing, version control, code review and production systems in depth, even when AI writes much of the code
- Customer communication: you're confident in front of customers and can explain technical topics to non-technical people
- Product thinking: you understand the problem behind a request, challenge assumptions and design a pragmatic solution, rather than just implementing requirements
- AI-first: you use AI coding agents daily and want to join an AI-native company
- Testing mindset: you know why automated tests (unit, integration, end-to-end) matter, especially when AI writes the code, and treat them as the safety net that lets a team move fast
- CI/CD: you've set up and maintained pipelines (e.g. GitHub Actions, Cloud Build), including automated testing, linting, environment promotion and safe deployments
- Ownership: you work independently and raise problems early instead of working around them
Nice to Have
- Forward deployed, solutions or customer-facing engineering
- Voice AI or telephony (ElevenLabs, SIP)
- LLM prompt design and evaluations
- GCP and Terraform
- Observability and alerting
How We Work
- AI-first engineering, backed by strong engineering discipline
- Everything as code: agents, prompts, pipelines and infrastructure live in git
- Automated tests and CI/CD checks before any change reaches production
- Strict separation between development and production environments
- A small team, so you'll have real ownership and real impact
Why Join
- Competitive salary + equity in a VC-backed startup
- Work directly with customers and see your work running in live, 24/7 operations
- Join an AI-native team where using the best AI tools is expected and supported
- Help shape the engineering culture and technical direction of a growing AI company
- Small team, fast decisions, visible impact
Vox Talk AI is an equal opportunities employer. We welcome applicants regardless of gender, civil status, family status, sexual orientation, religion, age, disability, race or membership of the Traveller community.We use your personal data only to assess your application, in line with GDPR.