Role overview
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.