Senior Software Engineer, Backend - Platform (Core AI Automation)
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 6
Agentic AI @ 4
Agentic Systems
Blockchain @ 4
Compliance @ 4
Customer Support
Data Pipelines @ 4
Design Patterns
Docker @ 3
GenAI @ 3
Generative AI @ 6
Go @ 3
LLM @ 4
Machine Learning
Microservices @ 6
MongoDB @ 3
PostgreSQL
Prompt Engineering @ 4
Python @ 6
RAG @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for in-person working sessions called “surges.”
As a Senior Software Engineer on the Platform Core Automation team, you will build AI infrastructure and agentic systems that automate customer support and compliance operations. The team is developing end-to-end AI-driven processes that use intelligent agents to resolve customer issues and execute compliance tasks autonomously. You will own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that reduce resolution times, lower costs, and improve accuracy across millions of customer interactions.
Responsibilities
- Own the design and delivery of agentic AI systems for customer support and compliance automation, from LLM orchestration through production deployment and monitoring.
- Build scalable and secure backend infrastructure in Python and Golang for AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks.
- Drive end-to-end execution of complex AI initiatives and make technical trade-offs involving latency, accuracy, cost, and reliability.
- Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational challenges into AI-powered solutions.
- Lead code reviews, mentor engineers on AI system design patterns, and contribute to on-call rotations and incident response.
Requirements
- 5+ years of software engineering experience, with proven expertise designing, building, and maintaining production services using a microservices architecture.
- 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, with experience integrating third-party AI models and APIs into production workflows.
- A 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 such as blockchain data or customer interaction logs.
- Responsible use of generative AI, maintaining human oversight while delivering business-ready outputs and measurable improvements in workflow efficiency, cost, and quality.
Nice to Have
- Experience navigating rapid company growth, such as a transition from startup to mid-size company.
- Familiarity with GenAI frameworks and tools, Python, Go, Docker, Postgres, and MongoDB.
- Background in AI/LLM infrastructure.
Compensation
The annual base salary range is $186,065–$218,900 USD, excluding equity and bonus. Total compensation may also include equity, bonus eligibility, and medical, dental, vision, and 401(k) benefits.
Additional Information
- Candidates may submit a maximum of three applications within a six-month period.
- Coinbase is an Equal Opportunity Employer.
- Reasonable accommodations are available for applicants with disabilities.
- Applicants agree to Coinbase’s Candidate Privacy Notice and, for US applicants, arbitration of disputes when submitting an application.