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

Gomyneed Private Limited; Northern (KY); Hybrid; USD 186,000 - 219,000; Full time

Job summary

Coinbase is seeking a Senior Software Engineer, Backend - Platform (Core AI Automation), a remote role in the USA. You will design and deliver agentic AI systems powering customer support and compliance automation, from LLM orchestration through production deployment and monitoring.

Responsibilities include building scalable backend services in Python and Golang, crafting model integration pipelines, and driving end-to-end AI initiatives while balancing performance and cost.

Qualifications

• 5+ years of software engineering experience designing, building, and maintaining production microservices.
• Hands-on experience building LLM-based applications or AI/ML systems in production.

Responsibilities

• Own the design and delivery of agentic AI systems powering automation from orchestration to deployment.
• Build scalable backend infrastructure in Python and Golang for AI workloads, including model integration pipelines and guardrails.
• Drive end-to-end execution on complex AI initiatives, balancing latency, accuracy, and cost.
• Partner with Customer Experience, Compliance, and product teams to identify automation opportunities.
• Lead code reviews, mentor engineers, and participate in on-call and incident response.

Skills

Python

Golang

LLM/AI systems

Microservices

Data pipelines

Job description

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

Coinbase is hiring a Senior Software Engineer, Backend - Platform (Core AI Automation) (Remote - USA). This is an AI / ML role listed on the official Coinbase careers site.

About this role

Remote AI / ML

Key Responsibilities

• Own the design and delivery of agentic AI systems that power customer support and compliance automation, from LLM orchestration through production deployment and monitoring.
• Build scalable, secure backend infrastructure in Python and Golang for AI workloads, including model integration pipelines, guardrails, grounding, and measurement frameworks.
• Drive end-to-end execution on complex AI initiatives, making trade-offs across latency, accuracy, cost, and reliability.
• Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities.
• Lead code reviews, mentor engineers on AI system design patterns, and contribute to on-call and incident response.

Requirements

• 5+ years of software engineering experience designing, building, and maintaining production microservices.
• Hands-on experience building LLM-based applications or AI/ML systems in production, including prompt engineering, RAG, or agentic AI frameworks.
• Proficiency in Python and Golang (or comparable backend languages), integrating third-party AI models and APIs.
• Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces.
• Experience with data pipelines, external vendor integrations, or large-scale unstructured data.

Salary: $186,065–$218,900 per year

Job Type: Remote