Our mission is to transform workplace communication globally. Weve been recognized as a Visionary in Gartners Magic Quadrant for Digital Communications Governance and Archiving Solutions raised a $20 million Series B funding roundbringing 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 beginningwere growing rapidly and were 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 thats 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 aGartner 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 Youll 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 Youll 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.
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