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 Lead Back-End Developer (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
