Senior Backend Engineer_Hybrid (NYC)
About The Position
We are looking for a Senior Backend Engineer to join a fast-moving applied AI and data analytics company as one of their highest-priority hires. The focus is twofold: architecting the platform to sustain significantly increased enterprise usage, and building innovative new features with decisions that hold up for years. This is a DRI (Directly Responsible Individual) role — you will own systems end-to-end, from graph database layer to API infrastructure to data pipelines at scale. The sweet spot is someone senior enough to think architecturally, but still energized by hands-on implementation. The platform connects an organization's entire data landscape — internal systems, social media trends, industry reports, consumer behavior signals — into a single coherent intelligence layer that surfaces insights and automates workflows that used to take analysts weeks. At its core is a production graph RAG system connecting temporal and sentiment data at enterprise scale — a key technical differentiator. As a senior backend IC, you will work across the graph database layer, API infrastructure, and data pipelines with concurrency at scale. You will collaborate with ML/AI engineers to bring predictive and prescriptive models into production, own system reliability under high-throughput conditions, and shape the long-term technical trajectory of the platform. There is currently a staff backend engineer working across large parts of the stack — you will be additive senior capacity, not a replacement.
Requirements
- 5+ years of professional backend engineering experience building systems at scale
- Strong Python proficiency; confidence that picking up Go would be no problem (Go experience is a plus)
- Experience with distributed systems and microservices architecture
- Comfort with both SQL and NoSQL databases and data processing at scale
- Startup or small-team experience where you built new things with real ownership — not just maintained existing systems
Nice To Haves
- Graph database experience (a major plus — core to the stack)
- Go experience
- Familiarity with RAG architectures and the broader GenAI landscape
- Experience with real-time data processing, streaming technologies, and concurrency at scale
- Understanding of ML/AI concepts, particularly forecasting and NLP
- Kubernetes and container orchestration experience
Responsibilities
- 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
- Work with the graph database layer and production graph RAG system
- Collaborate with ML/AI engineers to integrate predictive and prescriptive models into production workflows
- Own system reliability — 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 help establish backend engineering best practices as the team scales
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
