What weâre buildingWeâre empowering small teams with technology that makes it easier to market and grow businesses. Our current focus it to help consumer brands shift from "workflow automation" to "agent managementâ within their marketing operations. Matter is the AI coordination layer â providing shared AI memory, centralized agent control, and model differentiation. We founded the company based on a decade of experience providing marketing services to 300+ consumer brands, leveraging that expertise to develop interfaces that streamline user experience in the era of AI.Why join Matter?Founding Engineer Equity You'll get a meaningful equity stake; early-stage and undiluted.Product Ownership You'll ship production code daily and help steer key product and technical decisions.Shape the Engineering Culture You'll influence how we workâtools, processes, standards, and hiring.Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brandsâsome doing $80Mâ$500M in revenue.Don't join Matter if...Work-life balance is a high priority for youYou're uncomfortable changing your priorities every 24-48 hoursYou're not confident in your abilities to manage end-to-end solutionsYou require a many devops resources to be successfulAbout the RoleYou'll sit squarely at the intersection of backâend and frontâend, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features endâtoâend, especially our AI/MLâpowered experiences, while mentoring peers and driving architecture decisions.Core Tech & ToolsLanguages & Frameworks: Python, Node.js, React (TypeScript)Datastore: PostgreSQLCloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, KubernetesML/AI: LLMs, RAG, prompt engineeringOther: MCPKey ResponsibilitiesArchitect and implement fullâstack features, from database schema to React components, optimized for scale and reliability.Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fineâtuning pipelines.Ensure frontâend and backâend systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship productionâgrade code.Monitor performance, reliability, and security.Mentor junior engineers through code reviews, architecture reviews, and shared best practices.Requirements5+ years of professional software engineering experience with endâtoâend ownership in a fullâstack role.Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.Able to be handsâon with GCP, containerization (Docker/K8s), and building/supporting highâtraffic systems.Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.Familiarity or strong interest in working with MCP servers.Exceptional problemâsolving skills and a product mindset: you think deeply about UX, performance, and business impact.You sweat both technical details and end-user experience.Nice to HavesExperience with multiâstep or agentic AI workflows.Background in AI infrastructure or tooling companies.Contributions to openâsource AI/ML projects.What we offerCompetitive salary and equity package (roles, responsibilities, and comp grow as we do)Top-tier health, vision, dental insurance (US)Regular team off-sitesRegular hack weeksPlease mention the word **EBULLIENCE** and tag RMjAzLjExMC4yNDIuMzA= when applying to show you read the job post completely (#RMjAzLjExMC4yNDIuMzA=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.