CozmoX provides AI employees powered by advanced voice technology that enables natural, human-like conversations.

These digital workers communicate fluently with customers and stakeholders while handling repetitive tasks 24/7. Through our no-code platform, businesses can deploy AI employees that manage entire processes through voice interactions, replacing multiple software tools with unified solutions.

We’ve unveiled 3 powerful AI employees, with more to come: Liza (Sales Executive) - Engages in natural voice conversations throughout the sales cycle, from initial prospect calls to negotiations and closure. She handles qualification calls, follow-ups, and maintains CRM records while building rapport through intelligent dialogue. Alex (Debt Collector) - Conducts professional voice communications for collections, speaking with customers to arrange payments, negotiate plans, and ensure timely follow-ups while maintaining regulatory compliance. Zara (Receptionist) - Masters voice-based front-office management, engaging in natural conversations to route calls, schedule appointments, take detailed messages, and resolve customer inquiries with a friendly, professional tone.

Like the industrial revolution transformed farming, we're revolutionizing workplace communication. By automating routine conversations and tasks, human teams can focus on creativity, problem-solving, and business growth.

We're the first in the Middle East and Africa to offer this kind of technology, but we work with businesses all over the world. We're backed by Y Combinator, Goodwater Capital, Dubai Future District Fund, Rebel Fund, and Trampoline Venture Partners, and have raised $3M in our latest round.

Role Introduction

We’re hiring a skilled Backend Engineer (Lead) to architect, build, and scale the backbone of our

voice AI SaaS platform and internal PaaS solutions. You will create robust, secure, and scalable

server-side systems that handle real-time voice data, WebRTC interactions, and SIP integrations

for enterprise clients. With a multi-tenant, high-traffic environment, our platform needs to be

performant, fault-tolerant, and flexible enough to adapt to customer-specific on-prem deployments.

Responsibilities

1.PaaS & Infrastructure

- Design and maintain the core Platform-as-a-Service (PaaS) that supports CozmoS AI’s voice

applications and microservices.

- Oversee deployment strategies that empower internal and external teams to build on top of our

platform with minimal friction.

2.Real-Time Communication (WebRTC & SIP)

- Integrate and optimize WebRTC and SIP (Session Initiation Protocol) services to enable

real-time audio streaming, calls, and other voice features.

- Implement signaling, session management, and NAT traversal solutions for voice

communication, ensuring low latency and high availability.

3.Multi-Tenant Architecture

- Develop a highly scalable multi-tenant platform with strict data isolation and resource

partitioning to support enterprise customers.

- Work closely with DevOps to ensure efficient resource utilization, especially for GPU-heavy

voice/AI workloads.

4.Microservices & API Development- Design and implement backend microservices that power CozmoX AI’s features, focusing on

resilience, observability, and performance.

- Create and maintain secure, high-throughput REST/GraphQL APIs or SDKs that serve both

internal teams and external clients.

5.DevOps & CI/CD

- Own the end-to-end delivery process: automated testing, CI/CD pipelines, infrastructure as

code (Terraform/CloudFormation), and secret management.

- Containerize and orchestrate services with Docker/Kubernetes, handling cloud deployments

and on-prem setups for enterprise customers.

6.Observability & Performance

- Set up comprehensive logging, monitoring, and alerting for real-time systems to ensure smooth

call flows and rapid troubleshooting.

- Continuously optimize server and network performance, focusing on minimizing latency for

real-time interactions.

7.Security & Compliance

- Implement best-in-class security practices (encryption at rest/in transit, authentication,

authorization) in a multi-tenant environment.

- Ensure compliance with relevant data protection and privacy standards required by enterprise

customers.

8.Collaboration & Leadership

- Collaborate with front-end, AI/ML teams, and product stakeholders to align on requirements,

APIs, and architecture decisions.

- Mentor junior engineers, guide best practices, and drive architectural discussions for future

product roadmap.

Qualifications

Professional Experience

- 5+ years of backend development experience, with a proven track record in building

high-availability, large-scale systems.

- Demonstrable exposure to real-time communication protocols and tools (WebRTC, SIP, RTP,

STUN/TURN, etc.).

- Experience with multi-tenant SaaS or PaaS offerings, ensuring data isolation and robust

partitioning.

Technical Expertise

- Proficiency in one or more backend languages (Python, Node.js, Go, Java) and frameworks.

- Hands-on experience with microservices, containerization (Docker), and orchestration

(Kubernetes) in production.

- Strong DevOps fundamentals: CI/CD, Infrastructure as Code (Terraform, CloudFormation),

config/secret management.

- Familiarity with call signaling, session management, and load balancing for RTC or VoIP

systems.

- Understanding of enterprise-level security practices, authentication mechanisms (OAuth, SSO),

and compliance requirements.

Cloud & On-Prem Deployment- Experience deploying services in public cloud environments (AWS, GCP, or Azure) and

on-premises.

- Knowledge of implementing robust logging and monitoring stacks (ELK, Prometheus, Grafana)

for production systems.

Preferred Skills

-Voice & AI: Knowledge of voice technology stacks, SIP trunking, telephony infrastructure, and

how they integrate with AI/ML pipelines.

-Scalability & Performance: Demonstrated ability to handle high traffic and low-latency

demands in RTC contexts.

-Database & Storage: Working knowledge of both SQL and NoSQL databases, caching layers

(Redis, Memcached), and data partitioning strategies.

-Leadership: Prior experience in leading or mentoring a small engineering team, driving

architectural decisions, and influencing product direction.

-Open Source: Contributions to open-source RTC or backend frameworks; interest in staying

on top of emerging backend/telephony trends.

We will provide all the details during the interview process.