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

Coinbase

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$186,065–$218,900 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $202k
$141k most similar roles pay here $245k

This role pays more than 53% of similar roles. Most pay $151,000–$228,950 — the shaded band above. At the midpoint, this role pays about $202k versus about $190k 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 58 open roles on FindRole.

Listed pay typically runs $215,177–$253,150 across 50 roles with salary data.

Most-posted roles

View all roles at Coinbase

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 own 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 for AI workloads, managing model integration pipelines, and establishing measurement frameworks. The role requires expertise in Python, Golang, and microservices architecture, along with experience in prompt engineering, retrieval-augmented generation, and handling large-scale unstructured data like blockchain logs. You will navigate technical trade-offs regarding latency and accuracy while collaborating with cross-functional teams to translate operational pain points into automated solutions using tools such as Docker, Postgres, and MongoDB.

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.
  • Develop 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.
  • Proven expertise in designing and maintaining production services using a microservices architecture.
  • Hands-on experience building LLM-based applications or AI/ML systems in production.
  • Proficiency in Python and Golang for backend infrastructure and integrating third-party AI models.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
  • Experience building data pipelines and working with large-scale unstructured data sources.
  • Track record of delivering end-to-end projects in ambiguous problem spaces with measurable business impact.
  • Familiarity with Docker, Postgres, and MongoDB is preferred.

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