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.