Coinbase

2 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Build agentic AI systems for customer support and compliance automation, owning LLM orchestration through production deployment, monitoring, and measurement. Create scalable, secure backend infrastructure in Python and Golang to support AI workloads, guardrails, grounding, and integration pipelines. Drive end-to-end delivery with trade-offs across latency, accuracy, cost, and reliability, partnering with Customer Experience, Compliance, and engineering while improving team quality through reviews, mentoring, and incident response.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and deliver agentic AI systems for customer support and compliance automation, covering LLM orchestration through production deployment and monitoring.
•Build scalable, secure backend infrastructure in Python and Golang to support AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks.
•Lead end-to-end project execution on complex AI initiatives, making trade-offs across latency, accuracy, cost, and reliability.
•Partner with Customer Experience, Compliance, and product engineering to identify high-impact automation opportunities and translate operational pain points into AI solutions.
•Strengthen engineering quality by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response.

Pay and Benefits

Salary: USD 186,065 - 218,900 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401k

Key Requirements

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

Experience:5+ yearsAI/MLSaaSPlatform engineering

Skills:Code reviewsMentoringProject executionPartneringResponsible AI oversight

Languages:English

Tech Stack:PythonGolangMicroservicesLLM orchestrationProduction deploymentMonitoringGuardrailsGroundingIntegration pipelinesRAGDockerPostgresMongoDBAPI integrationData pipelinesModel integration

Company Brief

Coinbase

Operates a cryptocurrency exchange and financial services platform that enables buying, selling, storing, and earning crypto assets, institutional trading, custody, and developer tools for blockchain applications.

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn

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Coinbase

2 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and deliver agentic AI systems for customer support and compliance automation, covering LLM orchestration through production deployment and monitoring.
•Build scalable, secure backend infrastructure in Python and Golang to support AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks.
•Lead end-to-end project execution on complex AI initiatives, making trade-offs across latency, accuracy, cost, and reliability.
•Partner with Customer Experience, Compliance, and product engineering to identify high-impact automation opportunities and translate operational pain points into AI solutions.
•Strengthen engineering quality by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response.

Pay and Benefits

Salary: USD 186,065 - 218,900 annually

Equity and Bonus:Equity

Perks:MedicalDentalVision401k

Key Requirements

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

Experience:5+ yearsAI/MLSaaSPlatform engineering

Skills:Code reviewsMentoringProject executionPartneringResponsible AI oversight

Languages:English

Tech Stack:PythonGolangMicroservicesLLM orchestrationProduction deploymentMonitoringGuardrailsGroundingIntegration pipelinesRAGDockerPostgresMongoDBAPI integrationData pipelinesModel integration

Company Brief

Coinbase

Industry: Trading Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Website LinkedIn