Offer summary

Qualifications:

3+ years of software engineering experience, including at least 1 year in a leadership role., Strong backend development skills, especially in building distributed, low-latency, or real-time systems., Proven experience in building or scaling production infrastructure., Bonus: Experience in voice technology, speech recognition, or deploying machine learning systems..

Key responsibilities:

Lead and develop two technical squads focused on machine learning and voice agent engineering.

Own and improve the system architecture for scalability and performance.

Support major releases with hands-on involvement when necessary.

Collaborate with product and design teams to develop new voice features and support enterprise clients.

Job description

About the Company

Our client is building the future of Arabic voice automation—an AI system that speaks, understands, and responds naturally, handling calls 24/7 across industries without additional hiring. Backed by a $1M investment and trusted by 20+ enterprise clients, the company is now scaling its impact, and this is your chance to help shape the future of Arabic conversational AI.

The Team

You’ll join a diverse group of engineers, researchers, and builders dedicated to enabling natural conversations between people and machines. The team is remote-first, with an optional office in Riyadh, and brings together talent from Saudi Arabia, Egypt, Jordan, the US, and beyond. The work is divided into two squads—one focused on Arabic machine learning (speech, NLP, TTS), the other on real-time voice agent infrastructure.

Requirements

The Role

As Engineering Lead, you’ll report directly to the Co-founder & CTO and take ownership of the company’s technical roadmap, team development, and engineering culture. You’ll lead both ML and Infrastructure squads, tackling ambitious challenges like ultra-low-latency streaming, voice-to-text for Arabic, scalable backend systems, and real-time AI-human interactions.

You’ll also collaborate closely with enterprise clients to deliver high-performing integrations and help establish technical best practices across the organization.

Responsibilities

Lead and grow two technical squads (ML and Agent Engineering)
Own and evolve the system architecture with a focus on scalability and performance
Stay hands-on when needed, especially around major releases
Drive engineering excellence through best practices, code reviews, and mentoring
Collaborate with product and design teams to build new voice features
Support enterprise clients with onboarding, integration, and workflow optimization
Foster a culture of ownership, fast iteration, and continuous learning

What We’re Looking For

3+ years of software engineering experience, with at least 1 year in a leadership role
Strong backend experience, building distributed, low-latency, or real-time systems
Proven track record of building or scaling infrastructure used in production
Bonus: experience in voice technology, speech recognition, or deploying ML systems
Excellent communication skills with both technical and non-technical stakeholders

Benefits

What’s on Offer

Competitive compensation in SAR or USD, tailored to your experience and impact
Remote-first environment — work from wherever you’re most productive
Optional workspace in Riyadh for those who prefer in-person collaboration
Creative and technical ownership from day one
The opportunity to define the technical standard for Arabic-language AI
A supportive, fast-moving team that values curiosity, initiative, and collaboration

Ready to Build the Future?

If you’re excited to lead high-impact teams, solve complex technical challenges, and play a defining role in a rapidly growing AI company — we’d love to hear from you. Let’s talk.

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