Our mission is to transform workplace communication globally. We've been recognized as a Visionary in Gartner's Magic Quadrant for Digital Communications Governance and Archiving Solutions, raised a $20 million Series B funding round—bringing our total funding to $60 million, and earned the trust of top-tier institutions worldwide, who rely on our platform daily to streamline client communications. This is just the beginning—we're growing rapidly and we're seeking passionate, talented individuals to join our team. This is your opportunity to work on impactful projects using cutting-edge technologies alongside driven innovators from around the world. Apply now to be part of something revolutionary!
Why join us
Innovative Culture: Work at the cutting edge of business communication technology, with a product that’s changing the way Fortune 500 companies communicate.
Impactful Work: Your contributions will directly impact how millions of professionals connect and collaborate worldwide.
Global Team: Be part of a diverse, mission-driven team that values collaboration, innovation, and growth.
Growth Opportunities: With our rapid expansion, there are plenty of opportunities for professional growth and development.
Award-Winning Product: Join a company with a track record of success and recognition, including accolades like being named a Gartner Cool Vendor.
Who you are
An experienced backend engineer with 6+ years of commercial experience building and deploying distributed systems in Java and Go.
Product-focused and excited about creating backend systems that can leverage AI to deliver measurable impact for customers.
Enthusiastic about integrating AI/LLM workflows (RAG, embeddings, agentic AI) into backend pipelines while making practical trade-offs for scalability, reliability, and maintainability.
Thrive in a collaborative environment, working closely with product, design, and AI teams.
Comfortable taking ownership in a high-growth, fast-paced setting.
What You’ll Do
Design, develop, and maintain distributed, event-driven backend services in Java and Go.
Integrate AI-driven workflows (RAG, embeddings, prompt orchestration, agentic AI concepts) into backend systems using service APIs.
Collaborate with cross-functional teams to identify opportunities and translate them into backend solutions with AI capabilities.
Lead end-to-end development: coding, deployment, observability, and performance optimization.
Participate in architecture reviews and help shape system-level design decisions.
Mentor teammates, promoting clean, maintainable code and engineering best practices.
Ensure high reliability and availability through robust testing, logging, and incident response practices.
What You’ll bring
Strong backend expertise in Java and Go.
Familiriarity with AI/LLM-based services (RAG pipelines, embeddings, LangChain, LlamaIndex) into backend systems.
Solid understanding of databases: relational (PostgreSQL, MySQL), non-relational (MongoDB). Vector dabases (Weaviate, Pinecone, Milvus) is plus.
Familiarity with cloud-native development and deployments (Docker, Kubernetes, CI/CD).
Proven track record of delivering production-grade, scalable backend systems.
Strong communication skills and ability to influence technical direction.
Other skills you might have
Knowledge of MLOps and production deployment of AI workflows.
Experience with customer-facing deployments or compliance-driven enterprise systems.
Team lead experience or desire to grow into a leadership role.