3+ years of professional engineering experience with frontend and backend work
Proficient in TypeScript/React and at least one of Go or Python
Strong product instincts focused on user experience
Comfortable with ambiguity and rapid iteration
Experience with cloud infrastructure, preferably AWS
Adaptable to evolving workflows and AI tools
Focus on quality while optimizing for impact
Responsibilities
Build and ship end-to-end features including backend services and frontend experiences
Design APIs, data models, and service architectures for AI capabilities
Create intuitive user interfaces making complex enterprise data actionable
Collaborate with ML engineers on production AI-driven features
Own features through the full lifecycle from scoping to deployment
Engage with enterprise customers to gather insights and refine products
Contribute to infrastructure, tooling, and developer experience
Benefits
Real enterprise impact with significant improvements for large retailers
Engage in cutting-edge technical challenges in AI and data orchestration
Ownership of major features from conception to production
Competitive salary and meaningful equity
Comprehensive benefits including health, dental, vision, and 401k
Flexible PTO and home office stipend
Culture emphasizing craft, intellectual honesty, and connection
Full Job Description
About the Role
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.
What You'll Do
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 and refine the product
Contribute to infrastructure, tooling, and developer experience as the engineering team scales
Who You Are
3+ years of professional engineering experience with meaningful work across both frontend and backend
Proficient in TypeScript/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 and agentic tools to improve processes.
You care about quality but optimize for impact (you know when to polish and when to ship)
Bonus
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
Why Merciv
Real enterprise impact: our platform drives 8-figure improvements in gross margins for the world's largest retailers
Cutting-edge technical challenges at the intersection of agentic AI, distributed systems, and enterprise data orchestration
Small team, massive surface area. You'll own major features from conception to production
Competitive salary, meaningful equity, and comprehensive benefits (health, dental, vision, 401k, home office stipend, flexible PTO)
A culture that values craft, intellectual honesty, and genuine human connection
