Senior Software Engineer, Backend - Platform (Core AI Automation)

Coinbase

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$186,065–$218,900 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $202k
$144k most similar roles pay here $240k

This role pays more than 57% of similar roles. Most pay $157,000–$228,950 — the shaded band above. At the midpoint, this role pays about $202k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 62 open roles on FindRole.

Listed pay typically runs $201,790–$237,400 across 54 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Backend - Platform (Core AI Automation)

As a Senior Software Engineer, Backend - Platform (Core AI Automation), you will join the Platform Core Automation team to build AI infrastructure and agentic systems that automate customer support and compliance operations. You will be responsible for the design and delivery of LLM-powered systems, including orchestration, grounding techniques, and integration pipelines to replace manual workflows with autonomous agents. Your daily work involves building scalable, secure backend infrastructure using Python and Golang to serve AI workloads, managing model integration pipelines, and establishing measurement frameworks. You will navigate technical trade-offs regarding latency, accuracy, cost, and reliability while collaborating with cross-functional teams to solve operational pain points. Required skills include experience with microservices architecture, prompt engineering, retrieval-augmented generation, and handling large-scale unstructured data sources like blockchain data or customer interaction logs.

What you'll do

  • Design and deliver agentic AI systems for customer support and compliance automation from orchestration to production deployment.
  • Build scalable backend infrastructure in Python and Golang to serve AI workloads and model integration pipelines.
  • Implement guardrails, grounding mechanisms, and measurement frameworks for LLM-powered systems.
  • Manage technical trade-offs regarding latency, accuracy, cost, and reliability across complex AI initiatives.
  • Translate operational pain points from internal teams into automated AI-powered solutions.
  • Lead code reviews and mentor engineers on AI system design patterns.
  • Participate in on-call rotations and incident response to ensure system reliability.

What we're looking for

  • 5+ years of experience in software engineering with expertise in designing and maintaining production microservices.
  • Hands-on experience building LLM-based applications or AI/ML systems in production including RAG and agentic frameworks.
  • Proficiency in Python and Golang for building backend infrastructure and integrating third-party AI models.
  • Experience building data pipelines and working with large-scale unstructured data sources like blockchain data or interaction logs.
  • Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces.
  • Ability to use generative AI responsibly while maintaining human oversight for business-ready outputs.
  • Experience navigating rapid company growth (preferred).
  • Familiarity with Docker, Postgres, MongoDB, and specific GenAI frameworks or infrastructure (preferred).

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