Senior Software Engineer, Backend – Core AI Automation

Coinbase

. Design and deliver agentic AI systems for customer support and compliance automation .

Posted 9/17/2026full-timeRemote • United StatesSenior💰 $186,065 - $218,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering AI systems for customer support and compliance automation, with a strong focus on backend infrastructure development using Python and Golang. Proven ability to lead complex AI initiatives and mentor engineering teams while ensuring responsible use of generative AI.

Highest-signal resume keywords

Python ProficiencyGolang ProficiencyAI/ML Systems ExperienceMicroservices ArchitecturePrompt Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction ServicesModel Integration PipelinesData PipelinesAI WorkloadsGenerative AI OversightIntegration with Third-Party APIsBuilding LLM-Based ApplicationsMeasurement FrameworksComplex AI Initiatives

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

DockerPostgresMongoDBGenAI Frameworks

Industry Keywords

Customer Support AutomationCompliance AutomationAgentic AIRetrieval-Augmented GenerationLarge-Scale Unstructured Data

Tech Stack

Tools & technologies

DockerMicroservicesMongoDBPostgresPythonGo

About the role

Key responsibilities & impact

Design and deliver agentic AI systems for customer support and compliance automation
Build scalable, secure backend infrastructure in Python and Golang for AI workloads
Develop model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks
Drive end-to-end execution of complex AI initiatives while balancing latency, accuracy, cost, and reliability
Partner with Customer Experience, Compliance, and product engineering teams to identify automation opportunities
Translate operational pain points into AI-powered solutions
Lead code reviews and mentor engineers on AI system design patterns
Contribute to on-call rotations and incident response

Requirements

What you’ll need

5+ years of experience in software engineering with expertise designing, building, and maintaining production services using microservices architecture
Hands-on experience building LLM-based applications or AI/ML systems in production
Experience with prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks
Proficiency in Python and Golang or comparable backend languages
Experience integrating third-party AI models and APIs into production workflows
Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces
Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources
Responsible use of generative AI with human oversight
Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, and MongoDB is a nice-to-have
Background in AI/LLM infrastructure is a strong plus

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for individuals with disabilities
Equal opportunity employment protections