Staff Backend Engineer — Scale an AI Platform & Graph RAG

Syndesus, Inc.

New York (NY)

Hybrid

USD 160,000 - 240,000

Full time

13 days ago

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Benefits offered by this job

Health, dental, vision
401(k)
Home office stipend
Flexible PTO
Equity

Job summary

Syndesus, Inc. in New York City seeks a senior staff backend engineer to help scale and shape the platform that ingests vast data signals for enterprise decision-making. You will own end-to-end backend systems, working across Go and Python to push performance and reliability.

You will collaborate with ML engineers, design data pipelines, and mentor others while contributing to long-term architecture. This is a hands-on leadership role with influence on product direction and technical strategy in

Qualifications

  • 5+ years of professional backend engineering experience building systems at scale.
  • Strong Python proficiency; Go experience is a plus.
  • Experience with distributed systems and microservices architecture.
  • Experience with SQL and NoSQL databases; data processing at scale.

Responsibilities

  • Design, build, and scale backend services in Go and Python.
  • Architect data ingestion and processing pipelines handling millions of data points.
  • Build and maintain APIs powering enterprise AI platforms.
  • Work on graph database layer and production graph RAG system.
  • Partner with ML/AI engineers to integrate models into production workflows.
  • Own system reliability with fault tolerance and observability.
  • Contribute to architectural decisions shaping long-term platform trajectory.
  • Mentor engineers and establish backend engineering best practices.

Skills

Python
Go
Distributed systems
Microservices
SQL/NoSQL

Job description

Syndesus, Inc. in New York City seeks a senior staff backend engineer to help scale and shape the platform that ingests vast data signals for enterprise decision-making. You will own end-to-end backend systems, working across Go and Python to push performance and reliability.

You will collaborate with ML engineers, design data pipelines, and mentor others while contributing to long-term architecture. This is a hands-on leadership role with influence on product direction and technical strategy in

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