We’re looking for a Full-Stack Engineer who thrives in building modern, AI-powered web applications from the ground up. You’ll work across Next.js and Hono.js to deliver high-quality product features, integrating advanced LLM workflows and RAG systems that power real-world automation for sales and marketing teams.
Most of our work is greenfield, giving you the opportunity to design and ship scalable systems without legacy constraints. This role is ideal for someone who enjoys ownership, autonomy, and building meaningful, user-facing features from concept to production.
ResponsibilitiesBuild and ship full-stack features using Next.js (App Router) and Hono.js
Design and implement AI-powered workflows, including multi-step and agentic systems
Develop and maintain RAG pipelines (retrieval, embeddings, vector search, prompt orchestration)
Integrate third-party platforms (e.g., Google Calendar, Instantly, CRM tools)
Collaborate with designers and stakeholders to deliver polished UI/UX using TailwindCSS and shadcn/ui
Write clean, maintainable, and well-structured code following team standards
Optimize performance across frontend and backend for speed and scalability
Participate in code reviews and contribute to a high-trust engineering culture
Support deployment, debugging, and monitoring on platforms like Vercel and Cloudflare
2–4+ years of experience building full-stack applications with Next.js
Strong experience with App Router, server components, and modern data-fetching patterns
Proven experience integrating LLMs into production systems
Hands-on experience building RAG applications, including:
Data ingestion and chunking
Embedding generation
Vector databases (e.g., Pinecone, Weaviate, Supabase)
Retrieval and prompt engineering
Experience designing multi-step AI workflows or agent-based systems
Solid understanding of REST APIs and third-party integrations
Ability to own features end-to-end with minimal supervision
Strong communication skills and a collaborative mindset
Experience with Hono.js or edge runtimes
Familiarity with AI SDKs, tool usage, or function calling
Knowledge of hybrid search, re-ranking, or advanced retrieval techniques
Experience working in early-stage or greenfield environments
Basic DevOps experience (CI/CD, logging, monitoring)
Ownership and accountability
Clear, readable code
Curiosity and willingness to experiment with AI
Balancing speed with reliability
Thoughtful collaboration and constructive feedback
SaaS features like onboarding, dashboards, and settings
Data-heavy interfaces (tables, detail views)
Integrations with external tools and APIs
AI agents that automate complex workflows for sales and marketing teams
