Backend Engineer

Contract Type:

Permanent

Location:

United States

Contact Name:

Azra Meral

Contact Email:

ameral@space-exec.com

Contact Phone:

+44 7745660657

Date Published:

10-Feb-2026
Senior Backend Engineer – AI / ML Infrastructure (Remote) The Opportunity:

We’re partnering with a high-growth AI infrastructure company building a market-leading ML observability platform used by some of the most advanced engineering teams in the world.

The Backend Engineering team is responsible for highly scalable, distributed systems that power real-time analytics, model evaluation, and LLM monitoring at massive scale. While Go is the primary language, the platform also includes services written in Python, Java, and TypeScript.

This is a role for engineers who enjoy hard problems: distributed systems, OLAP architectures, real-time data pipelines, and AI-native tooling. You’ll be part of a core product team shaping how modern ML and LLM-powered applications are built, evaluated, and monitored in production.

 

What You’ll Be Building:
  • Core backend services powering a high-scale AI observability platform
  • Distributed analytics systems built primarily in Go (with Python, Java, and TypeScript in the mix)
  • APIs and infrastructure designed specifically for ML and LLM workflows
  • Real-time data pipelines handling massive throughput
  • Open-source extensions to OLAP databases and messaging systems
  • Tooling that helps teams understand, debug, and improve AI systems in production
  • Internal AI agents that help power and scale the product
  • You’ll work closely with product, design, and directly with customer engineering teams

 

What We’re Looking For:
  • 5+ years building  backend or infrastructure systems  that actually run in production
  • Strong experience in  Go, Python, Java, TypeScript/Node , or similar
  • Comfort operating in  fast-moving, low-bureaucracy environments
  • Experience with  cloud infrastructure and containers  (AWS/GCP/Azure, Kubernetes)
  • Curiosity and genuine excitement about  AI, LLMs, and what’s coming next

 

Bonus Points:
  • Distributed streaming systems (Kafka or similar)
  • OLAP or analytics-heavy systems
  • Observability tooling (Prometheus, etc.)
  • ML / data science exposure
  • Hands-on experience building or shipping LLM-powered products

 

Comp & Perks:
  • $125k – $225k base + meaningful equity
  • Medical, dental, vision, 401(k)
  • Unlimited PTO
  • Generous parental leave
  • Mental health & wellness support

 

How We Work:
  • Remote-first, async-friendly culture
  • Optional offices in NYC and the SF Bay Area

 

Apply below if you're interested!

Apply Now
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