6 months ago
Base Salary
$120k - $160k/yr
Responsibilities
- Build and ship end-to-end features with Go or Python backend services and React/TypeScript frontend experiences.
- Design APIs, data models, and service architectures supporting Merciv’s agentic AI capabilities.
- Create intuitive interfaces that make complex enterprise data actionable.
- Collaborate with ML engineers to bring AI-driven features to production.
- Own features through scoping, architecture, implementation, testing, deployment, and iteration.
- Work directly with enterprise customers and stakeholders to refine the product.
- Contribute to infrastructure, tooling, and developer experience as the team scales.
Requirements
- At least 3 years of professional engineering experience with meaningful frontend and backend work.
- Proficiency in TypeScript and React, plus at least one of Go or Python.
- Experience with cloud infrastructure, preferably AWS, and modern deployment practices.
- Strong product instincts and the ability to turn ambiguous problems into shipped features.
- Ability to adapt to evolving workflows and use AI and agentic tools to improve processes.
- Bonus: experience with agentic AI systems, LLM integrations, or RAG architectures.
- Bonus: background in enterprise SaaS, retail technology, or data-intensive products.
- Bonus: familiarity with data visualization, real-time systems, or streaming architectures.
- Bonus: contributions to developer tooling, CI/CD, or infrastructure automation.
Benefits
- Competitive salary, meaningful equity, and comprehensive benefits including health, dental, vision, and 401(k).
- Home office stipend and flexible PTO.
- Small-team environment with significant feature ownership and direct enterprise customer interaction.
Tech Stack
Categories
About Merciv
Merciv is an AI-native consumer intelligence platform built for the brands of tomorrow. Traditional tools generate reports. Merciv generates understanding. Our platform continuously synthesizes signals across the market and surfaces what matters before you know to ask.