# Senior Software Engineer, Backend

**Company:** [Coinbase](https://hotfix.jobs/companies/coinbase)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $186k – $219k/yr
**Experience:** 5+ years
**Skills:** Python, Go, LLMs, RAG, Agentic AI, Microservices, Docker, Postgres, MongoDB
**Posted:** 2026-07-22

> Build and own agentic AI systems and LLM-powered backend infrastructure in Python and Golang to automate Coinbase customer support and compliance operations end-to-end. Requires 5+ years software engineering experience with production AI/ML systems, microservices, and measurable business impact.

## Job Description

## What you’ll be doing

- Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring.
- Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks.
- Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability.
- Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions.
- Strengthen engineering quality across the team by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response.

## What we look for in you

- 5+ years of experience in software engineering, with proven expertise in 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.
- 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 (e.g., blockchain data, customer interaction logs).
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

## Nice to haves

- Experience navigating rapid company growth (e.g., from startup to mid-size).
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
- Background in AI/LLM infrastructure is a strong plus.

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**Apply:** https://hotfix.jobs/jobs/9fa554df-5b2d-4500-9c56-53ba374cefd4
**Canonical:** https://hotfix.jobs/jobs/9fa554df-5b2d-4500-9c56-53ba374cefd4