What are the responsibilities and job description for the Senior Backend Engineer_Hybrid (NYC) position at PulseRise Technologies?
Dear applicants, please note that applications without salary expectations and an active LinkedIn profile will not be considered.
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.
Details
Schedule: Full-time
Location: Hybrid (NYC)
Type of collaboration: Full-time employment
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.
You have
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 have
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
What To Do
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
Interview process
Recruiter screen
Intro call
Technical screen with a senior engineer
On-site: coding, system design, product sense, AI sense, and a meeting with a co-founder
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.
Details
Schedule: Full-time
Location: Hybrid (NYC)
Type of collaboration: Full-time employment
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.
You have
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 have
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
What To Do
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
Interview process
Recruiter screen
Intro call
Technical screen with a senior engineer
On-site: coding, system design, product sense, AI sense, and a meeting with a co-founder