Full-Stack Software Engineer

About Merciv

Merciv is an AI and data analytics startup dedicated to reshaping how businesses approach strategic intelligence. Our mission is to transform how organizations harness data, generate insights, and drive strategic decisions through cutting‑edge AI pipelines and dynamic forecasting mechanisms.

We're building toward a world where every business decision is informed by the right data at the right time, combining AI capability with human judgement.

Our technology:

• Connects disparate data sources into a single, coherent intelligence layer
• Augments human decision‑making with autonomous AI analysis
• Surfaces insights and opportunities that traditional tools miss
• Forecasts outcomes and helps teams navigate uncertainty with real clarity
• Gives organizations the ability to shape their markets, not just react to them

We're building solutions that are robust and scalable but also genuinely intuitive, so that teams across an organization can actually use them, not just the data team. We've raised $14M in seed funding, built our team around a strong engineering culture, and are launching publicly after nearly two years in stealth mode.

We're building an agentic AI platform that changes how enterprises work with data. Merciv connects an organization’s entire data landscape with external sources – social media trends, industry reports, consumer behavior signals – to surface insights and automate workflows that used to take analysts weeks.

We care a lot about making powerful tools feel simple. Every feature should be intuitive, every component interactive. We want users to open Merciv and immediately feel like they can do more than they could before.

Our lean, agile team thrives on innovation and autonomy. We're small enough that everyone has real ownership. We use a DRI (Directly Responsible Individual) model – you'll own major product features from conception to launch, not just contribute to them. You'll wear multiple hats, and that's by design.

Our work environment thrives on creativity and cutting‑edge technology, built for those eager to shape the future of human‑AI collaboration. If you’re excited about being part of a fast‑paced, innovative startup culture and making a significant impact on client business, Merciv is the place for you. Join us as we expand the horizons of retail intelligence and deliver unparalleled value to our clients.

As a Full Stack Engineer, you’ll work across every layer of Merciv’s platform—from the backend services that process enterprise data at scale to the frontend interfaces that make that intelligence accessible and actionable. In a team this size, full stack means full ownership: you’ll take features from idea to production and iterate directly with our enterprise clients.

This role is ideal for engineers who are energized by breadth, who want to understand the whole system, and who see product context as a superpower rather than a distraction.

• Build and ship features end‑to‑end—backend services in Go/Python and frontend experiences in React/Type Script
• 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 and refine the product
• Contribute to infrastructure, tooling, and developer experience as the engineering team scales

• 3+ years of professional engineering experience with meaningful work across both frontend and backend
• Proficient in Type Script/React and at least one of these languages:
  Go, Python
• Strong product instincts (you think about the user, not just the code)
• Comfortable with ambiguity and rapid iteration; you can take a vague problem and turn it into a shipped feature
• Experience with cloud infrastructure (AWS preferred) and modern deployment practices
• Adaptable to evolving workflows and tools, leveraging AI…