Hello everyone!

 

We're looking for a Senior Backend Engineer to take a core role in building and scaling the backend infrastructure powering an applied AI platform for enterprise decision-making.

 

What professional skills are important for us?

— 5+ years of professional backend engineering experience, with meaningful time building systems at scale.

— Strong Python proficiency; confident picking up Go quickly (Go experience is a plus).

— Experience with distributed systems and microservices architecture.

— Solid experience with both SQL and NoSQL databases and data processing at scale.

— Startup or small-team background strongly preferred — real ownership, building new things, not maintaining legacy systems.

— Familiarity with graph databases is a major plus — core to our stack.

— Familiarity with RAG architectures and the broader GenAI landscape.

— Understanding of ML/AI concepts, particularly forecasting and NLP.

 

Tasks:

— Design, build, and scale backend services in Go and Python powering autonomous intelligence for enterprise clients.

— Architect data ingestion and processing pipelines handling millions of data points across internal and external sources.

— Build and maintain APIs serving the agentic AI platform, supporting real-time decision-making at enterprise scale.

— Own the graph database layer and production graph RAG system — a core technical differentiator.

— Collaborate with ML/AI engineers to integrate predictive and prescriptive models into production workflows.

— Design for fault tolerance, observability, and performance under high-throughput conditions.

— Contribute to architectural decisions that shape the long-term trajectory of the platform.

— Mentor engineers and establish backend best practices as the team scales.

 

Conditions:

— Employment type: Full-time

— Work setup: Hybrid

— Location: New York

 

Hiring Process:

— 15-minute introductory call;

— Recruiter call;

— Technical screen with a senior engineer;

— On-site interviews: Coding, System design, Product sense, AI sense;

— Meeting with co-founder;