Lead and grow engineering teams building AI/GenAI (including LLMs and Agentic AI) solutions to automate compliance operations. Responsible for designing, delivering, and operating multi-tenant distributed cloud systems at scale, driving engineering quality, architecture reviews, incident response/on-call participation, and cross-functional collaboration with Product and Compliance. Requires at least 10 years software engineering experience and 5 years engineering management (including 2 years managing managers).

Lead architecture, implementation, and operational ownership of foundational platform capabilities for Coinbase's Control Center. Responsibilities include designing MCP and AI orchestration layers, building secure, high-traffic distributed backend services, owning SLOs/observability/incident response, and mentoring engineers. Requires 8+ years experience, strong Go proficiency, cloud-native backend stack (AWS, Kubernetes, Terraform), API development (gRPC, GraphQL), event-driven systems, and experience with agentic AI integrations. Role is remote (India) and includes quarterly in-person "surges."

Design and scale agentic systems connecting LLMs to internal APIs and tooling, implement RAG, fine-tuning, and prompt engineering, build production Python microservices, and develop evaluation pipelines for non-deterministic AI agents. Requires 3+ years building and scaling ML/AI systems in production and experience with multi-agent orchestration frameworks and vector databases.

Coinbase is hiring an IC4 Machine Learning Engineer (remote - India) to build and improve an orchestration layer coordinating vendor and internal LLMs and human participants. The role requires 2+ years of professional ML/software engineering experience, strong Python skills, hands-on experience with LLMs/deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Responsibilities include designing and shipping production-grade ML services, system design, and ensuring security and compliance.

Join Coinbase's CX Intelligence team to design and deploy a unified orchestration layer for vendor and internal LLMs, build production-grade Python ML services, lead complex ML projects, and establish best practices. Requires 5+ years of ML/software engineering experience, proficiency with LLMs/generative AI, Python, and specialization in at least one domain (NLP, information retrieval, computer vision, or statistical modeling). Salary (base) listed in BRL.

Drive architecture and delivery of core platform systems (LLM Gateway, AI Hub, agent runtime, knowledge bases), lead multi-quarter initiatives, implement AI FinOps, and build evaluation/observability tooling. Required: 5+ years software engineering experience building ML/AI infrastructure or distributed platform services, deep expertise in LLM orchestration, vector DBs, model serving, and fluency in Python and at least one systems language (Go, Rust, or C++). Remote-first role with quarterly in-person "surges."

Join Coinbase's IT Operations (ESTO) to build and scale core AI infrastructure and internal AI products. Responsibilities include owning end-to-end delivery of production-grade distributed systems (serving infrastructure, data pipelines, deployment orchestration), designing APIs and developer tooling, partnering across teams to define platform contracts, and raising engineering standards. Role is remote-first for the USA with quarterly in-person working sessions.

Join the ESTO IT Operations team to build production-grade AI infrastructure and internal AI products. Responsibilities include owning end-to-end delivery of distributed systems (serving infrastructure, data pipelines, deployment orchestration), driving platform adoption via clean APIs and developer tooling, and ensuring reliability, observability, and security at scale. Requires 5+ years automating/supporting cloud (AWS) and network environments, hands-on IaC (Terraform/Ansible/Chef/Puppet/Salt), production Docker/Kubernetes experience, and proficiency in languages such as Python, Bash, Ruby, or Go. Quarterly in-person "surges" are expected.

Lead and scale the team building Help Center, social support, and agent knowledge experiences; set technical strategy for AI-assisted self-service, retrieval, generation, conversational and agentic resolution, routing and human handoff. Define architecture across search, knowledge retrieval, chat orchestration, CRM/ticketing integrations; establish evaluation, quality/safety/privacy safeguards, SLAs/SLOs, monitoring and incident response. Partner with Product, Design, CX Ops, Data, Compliance/Legal/Privacy/Security; hire and coach engineers. Requires production experience with LLM-powered systems (RAG, agentic workflows), distributed systems at scale, and experience with Kubernetes/Terraform/CI and data/messaging stacks. Base annual salary listed as ₹9,424,500 INR.

Lead architecture and implementation of Agentic AI systems and a reusable primitives and orchestration platform to automate high-volume customer support and compliance processes. Drive technical strategy for moving LLM-based applications to production (grounding, hallucination reduction, reliability), partner with product/compliance/operations, and mentor senior engineers. Remote-first role based in the USA; quarterly in-person working sessions expected. Salary range (base): $253,895 — $298,700 USD per year.