Job Description

We’re looking for a real software engineer who knows how to build scalable, production-grade apps that use AI models like GPT-4, Claude, or open-source LLMs. You should be able to go from business problem → code → AI-powered solution, not just play with prompt templates. What You’ll Be Doing Building internal tools, APIs, and full-stack apps where LLMs are a core part of the logic Integrating models like GPT-4 into real workflows (classification, summarization, question answering, RAG, etc.) Working with embeddings, vector search, and tools like Pinecone, Weaviate, or FAISS Designing services that are modular, debuggable, and scalable Collaborating with automation engineers and operators to productize ideas quickly Owning the lifecycle of AI-powered features — from design to deployment to monitoring You Should Apply If You Have strong backend skills (Python, Node, Go, PHP.) and can write clean, production-grade code Have shipped something real using OpenAI, Anthropic, or similar APIs Understand prompt engineering beyond surface-level hacks Know your way around APIs, databases, cloud infra, and testing frameworks Are curious, fast, and biased toward building over theorizing Can explain the difference between a cool demo and a durable system Bonus Points For Experience with full-stack frameworks (React, Svelte, etc.) Experience with fine-tuning or using open-source models (e.g. Mistral, LLaMA, Zephyr) Familiarity with n8n, LangChain, or retrieval-augmented generation pipelines Compensation & Benefits $140,000 – $220,000 base salary (USD) Bonus + Competitive Benefits Remote-first culture with async-friendly workflows Direct access to leadership & fast decision cycles Freedom to ship, test, and own high-impact projects Next Steps Send us links to things you’ve built (GitHub, blog posts, demos, etc.). Tell us why this excites you. Show us code you’re proud of.