Lead Back-End Engineer, AI research

About Us

We're building AI systems that pair multilayered, scalable knowledge graphs with advanced reasoning agents—technology designed to navigate and make sense of the most complex knowledge domains with genuine scholarly precision. It's ambitious work, and we're looking for people who are excited by hard problems that don't have textbook answers yet.

The Role

We're looking for a Senior Backend Engineer (7+ years) to design and scale the infrastructure that powers our platform. You'll work shoulder-to-shoulder with a strong AI research team and domain experts, translating research-grade AI systems into robust, production-ready distributed systems. If you enjoy being the bridge between cutting-edge research and real-world reliability, you'll feel at home here.

What You'll Do

• Architect and implement scalable backend services and multi-tenant SaaS infrastructure
• Design and operate high-throughput data pipelines, both batch and streaming
• Build APIs and services that integrate LLM inference, retrieval systems, and knowledge graphs

• Productionize research-grade AI systems into reliable, well-engineered distributed systems

   

What We're Looking For

• 7+ years of backend engineering experience
• A track record of leading the design and delivery of complex, user-facing products (consumer or B2B)
• Strong proficiency in Python
• Deep understanding of distributed systems and cloud-native environments
• Hands-on experience architecting, building, and deploying Kubernetes-based systems
• Fluent English

• Experience in early-stage startups or fast-moving environments—ideally having built products from 0 to 1

   

Nice to Have

• Go and/or Scala experience
• Hands-on experience with LLM systems (RAG, model serving, evaluation)
• Familiarity with knowledge graphs, vector databases, or hybrid retrieval architectures

• An MS in Computer Science

   

What We Offer

• Technical innovation: Lead the development of novel neuro-symbolic architectures, with direct access to cutting-edge research
• A flexible environment: Remote-friendly arrangements and opportunities for international travel
• Competitive remuneration