Backend Engineer

We are looking for a Backend Engineer to join our Legal Tech engineering team and help build the next generation of AI-driven litigation ecosystem. This role combines top-tier backend engineering, cloud architecture, and cutting-edge LLM/AI innovation.

You’ll build high-scale, secure, multi-tenant services that turn our real-time transcription engine into AI-powered workflows and assistants used by legal teams. The role offers real ownership and chances to lead initiatives, while giving you space to grow your skills in AI development and modern dev-AI tools—all within a supportive, collaborative team.

This is a role for heart-and-soul players with passion, curiosity, and a desire to build something meaningful as part of a strong and mission-driven team.

What makes Verbit unique?

Verbit turns speech into impact. Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows.

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more.

With more than 3,000 global customers relying on Verbit—including top law firms, universities, enterprises and media organizations—we’re building the future of how speech data is processed, understood and used.

If you want to join our journey, you’ll need:

4+ years of hands-on backend development experience in a high-scale production environment
Strong proficiency with Python, REST APIs and Cloud (e.g. AWS, GCP)
Strong experience designing and building distributed, cloud-native microservices
Experience with event-driven architectures and asynchronous processing
Solid understanding of system design, scalability, availability, and performance optimization
Practical experience using AI-powered development tools (e.g., Cursor, Claude Code)
A significant advantage if you have practical experience with AI infra, such as: RAG, Agentic frameworks, Langfuse, LiteLLM
Ability to take ownership and drive projects end-to-end, working proactively and independently and as a team in a fast-moving environment.
Good communication skills and team work
Ability to work efficiently both individually and within a team

It will be even better if you have:

Formal education in relevant fields (CS, Math, Electrical Engineering etc.)
Experience with large scale SaaS solutions
Ability to integrate AI/LLM features into backend services (e.g., prompting, embeddings, RAG pipelines, fine-tuning)
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