Requirements
We are seeking Software Engineers who leverage AI -assisted development tools to build and ship fullstack digital products. This role spans platform, product, and go -to -market—you'll work across backend services, user -facing features, cloud infrastructure, and automation workflows. As part of our team, you will work closely with cross -functional teams to design, build, and maintain high -performance applications and scalable backend solutions for our clients. The ideal candidate has a strong GitHub presence, an eye for design, and a high rate of learning.
Key Responsibilities
Fullstack Development - Build and ship fullstack digital products using AI -assisted development tools (Cursor, Claude Code, Antigravity). - Design and implement backend services, APIs, and data models. - Build user -facing features with attention to UX and design details.
Platform & Infrastructure - Set up and manage cloud infrastructure, CI/CD pipelines, and deployments. - Work with SQL and NoSQL databases to create efficient and scalable data solutions. - Automate repetitive tasks and workflows to improve team productivity and code reliability.
AI & Automation - Integrate AI capabilities into products—LLM APIs, RAG pipelines, agentic workflows. - Work with GTM and automation tools (n8n, Make, Clay) to build sales and marketing workflows.
Collaboration - Prototype rapidly, gather feedback, iterate. - Collaborate closely with designers, product managers, and other developers to deliver features that align with project goals and client expectations.
Must Haves
- Strong GitHub presence with 3+ production -grade projects.
- Active user of AI IDEs (Cursor, Claude Code, Antigravity, or similar).
- Solid engineering fundamentals: clean code, good abstractions, testable systems.
- Experience with backend development—APIs, databases, server -side logic.
- Eye for design—you care about the experiences you build.
- High rate of learning—you figure things out fast.
- 0 -3 years of professional experience.
Nice to have
- Built and shipped a micro -tool or micro -SaaS with real users.
- Cloud deployment experience (AWS, GCP, Azure) with containerization and orchestration.
- Familiarity with AI/ML: prompt engineering, embeddings, agent frameworks (LangChain, CrewAI, LangGraph).
- Experience with automation/workflow tools (n8n, Make, Zapier).