Software Engineer

Software Engineer

Hybrid working 3 days in office

Up to 90K

Based in Borehamwood, full time role

Overview

On behalf of our client, an award-winning UK-based healthcare technology company, we are hiring for a Backend Software Engineer. The organisation develops AI-powered voice solutions for medical practices and clinics, automating patient calls, managing appointment bookings, and supporting medical triage through conversational AI.

Role Description

We are seeking an experienced Backend Software Engineer to help build and scale the core infrastructure behind an AI voice platform. You will work on real-time systems that manage high volumes of concurrent interactions, integrate with healthcare systems, and orchestrate AI-driven workflows.

Key Responsibilities

• Design and develop scalable backend services for real-time voice AI systems
• Build APIs and services that power conversational workflows and integrations
• Work on event-driven architectures handling telephony, streaming, and AI responses
• Integrate with third-party systems and external platforms
• Optimise system performance, reliability, and latency
• Contribute to architectural decisions, infrastructure design, and engineering best practices

Requirements

• Strong experience building backend systems with Node.js (5+ years)
• Proven experience designing scalable APIs and distributed systems
• Familiarity with real-time or event-driven architectures (e.g. WebSockets, queues, streaming)
• Experience with cloud platforms (AWS preferred)
• Solid understanding of databases (SQL and/or NoSQL)
• Experience integrating with external APIs and third-party services
• Strong problem-solving skills and ability to thrive in a fast-paced environment

Desirable Skills

• Experience with voice or telephony systems (e.g. SIP, WebRTC)
• Exposure to AI systems, LLMs, or conversational workflows
• Experience in healthcare or regulated environments
• Knowledge of infrastructure-as-code (e.g. Terraform, CDK)
• Experience with observability, monitoring, and scaling production systems