Full-Stack Engineer

About Merciv Merciv is an applied AI and data analytics company building the intelligence layer for enterprise decision-making. The platform connects an organization's entire data landscape — internal systems, social media trends, industry reports, consumer behavior signals — into a single coherent intelligence layer that surfaces insights and automates workflows that used to take analysts weeks. The platform drives 8-figure improvements in gross margins for Fortune 500 retailers. Founded by a technical team with deep innovation and graph database backgrounds. Raised $14M in seed funding. Zero attrition — no one has left the company. About the Role This is a mid-level full-stack role. You'll work across every layer of Merciv's platform — from backend services that process enterprise data at scale to frontend interfaces that make intelligence accessible and actionable. The team uses a DRI (Directly Responsible Individual) model — you own major product features from conception to launch, not just contribute to them. Key Responsibilities - Build and ship features end-to-end — backend services in Go/Python and frontend experiences in React/TypeScript - Design APIs, data models, and service architectures that support Merciv's agentic AI capabilities - Create intuitive interfaces that translate complex enterprise data into clear, actionable workflows - Collaborate with ML engineers to bring AI-driven features to production - Own features through the full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration - Work directly with enterprise customers and stakeholders to understand real-world needs - Contribute to infrastructure, tooling, and developer experience as the engineering team scales Benefits - Health, dental, vision, 401k - Home office stipend, flexible PTO - Ground-floor equity at a well-funded seed-stage company Requirements Requirements - 3+ years of professional engineering experience with meaningful work across both frontend and backend - Proficient in TypeScript/React and at least one of: Go, Python - Strong product instincts — thinks about the user, not just the code - Experience with cloud infrastructure (AWS preferred) and modern deployment practices Bonus Skills - Experience with agentic AI systems, LLM integrations, or RAG architectures - Background in enterprise SaaS, retail technology, or data-intensive products - Familiarity with data visualization, real-time systems, or streaming architectures - Contributions to developer tooling, CI/CD, or infrastructure automation - Graph database experience